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Data Scientists

15-2051.00 Bright Outlook $158K
151
postings
Career stage: All Intern (18) Entry-level (23) Mid-level (447) Senior (713) Manager (182) Director (151)
Education: All Bachelor's (52) Master's (77) Doctorate (149)
What do these filters mean?
Career stage is read from the job title. Use it to find jobs aimed at where you are right now:
  • Intern You can apply while still in school.
  • Entry-level Designed for new graduates.
  • Mid-level Typically expects internship or 2-3 years of experience.
  • Senior Established career role — usually 5+ years experience.
  • Manager Leads a team of engineers, not an early-career role.
  • Director Executive role — typically 10+ years of career experience.
Education is the highest degree the posting explicitly mentions. Postings that don't say are not filtered out — they appear under "All".
Associate Director, Data Science
Chewy Inc. · Bellevue, WA
Director Doctorate
2026-06-03
Requirements
  • Apply advanced mathematics and data science methodologies;
  • Standard machine learning and statistical techniques including predictive models (time series, regression, etc.), classification, forecasting; and
View full posting on CareerOneStop → ID: 78114146d8aa
Chief Data Scientist - AI Safety
Pacific Northwest National Laboratory · Seattle, WA
Director Doctorate
2026-06-02
Requirements
  • Based in Richland, WA or Seattle, WA with onsite presence required
  • Clearance required (see below for details)
  • Travel may be required for stakeholder engagement, project events, and sponsor reviews.
  • BS/BA and 9+ years of relevant work experience -OR-
  • MS/MA and 7+ years of relevant work experience -OR-
  • PhD with 5+ year of relevant experience
  • U.S. Citizenship
  • Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance with 10 CFR 710, Appendix B.
  • As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.
  • For foreign national candidates:
  • If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential.
  • Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a "country of risk" without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment.
  • *Rockstar Rewards
Preferred
  • Advanced degree in computer science, engineering, data science, mathematics, or a related discipline.
  • Active DOE Q or TS/SCI clearance and ability to maintain such clearance.
  • Demonstrated impact in AI Safety (e.g., peer-reviewed publications, recognized awards, contributions to community standards).
  • National reputation in AI Safety, frontier model evaluation, trustworthy AI, secure machine learning operations, or related mission relevant technical areas.
  • Familiarity with agentic AI safety (tool-use governance, retrieval hygiene, autonomous decision workflows) and evaluation of multi-step reasoning systems.
  • Experience developing and applying cutting edge AI/ML in national security environments, with an understanding of mission needs and operational constraints.
  • Experience serving as PI or project manager on multi-institution R&D efforts.
  • Strong record of securing external funding, managing research portfolios, and initiating new R&D programs in applied AI or AI Safety domains.
  • Experience working with sponsors such as DOE, NNSA, DoD, DHS, or other mission agencies, with the ability to help shape strategic research investments.
  • Proven ability to communicate complex technical concepts to diverse audiences across government, industry, and academia.
Responsibilities
  • Our AI & Data Analytics division is seeking a Chief Data Scientist with deep expertise in data science and experience in AI Safety for national security missions. The selected candidate will lead large, multi-year research and development programs within the AI and Data Analytics Division, which includes over 400 staff specializing in data science, applied mathematics, advanced analytic architectures, software engineering, and human-centered computing. We support PNNL's mission by contributing to impactful, mission-focused applied R&D projects that help tackle national security challenges. This role requires deep technical expertise and the ability to translate emerging research into mission-ready capabilities
  • The Chief Data Scientist will shape national technical direction, engage directly with sponsors and senior leadership, and serve as a strategic partner in aligning PNNL's AI safety portfolio with evolving mission and policy requirements. This individual will guide technical direction, mentor interdisciplinary teams, and collaborate closely with software engineers to transition cutting edge research into field-ready capabilities. In addition to leading research efforts, the Chief Data Scientist will serve as a key interface with sponsors and stakeholders, leveraging domain expertise to align PNNL's research agenda with evolving mission requirements.
  • The chosen candidate will have the unique opportunity to drive real-world impact at mission tempo while supporting PNNL's mission to tackle grand challenges through science, technology, and innovation. Key responsibilities will include:
  • Strategic Leadership and Vision:
  • Shape and execute forward-looking strategies for advancing AI Safety research, evaluation methodologies, and trustworthy deployment practices within PNNL's national security mission space.
  • Partner with government sponsors as a senior technical leader, translating evolving mission priorities and operational risk considerations into actionable research direction and investment opportunities.
  • Lead high-visibility proposal development to help shape national investment in frontier-model safety, agentic AI governance, secure machine learning operations, and evaluation infrastructure.
  • Scientific and Technical Leadership:
  • Lead nationally visible AI Safety programs, ensuring technical excellence, sponsor alignment, risk-informed execution, and timely delivery of impactful results.
  • Serve as a senior technical leader in AI Safety, guiding approaches for evaluating, testing, and characterizing the behavior, risks, and emergent properties of AI models including but not limited to large language models, multimodal models, and agentic AI systems.
  • Provide technical leadership that supports interdisciplinary teams, helping shape research methodologies, data science and engineering best practices, and evaluation strategies while overseeing end-to-end analytic workflows.
  • Build and sustain collaborations across DOE laboratories, federal agencies, academia, and industry to accelerate innovation and deliver integrated, mission-aligned AI Safety capabilities.
  • Partner with software engineering and operational teams to transition research outputs into secure, scalable real-world systems that support national security missions.
  • External Influence & National Representation:
  • Represent PNNL as a senior AI Safety expert in technical exchanges, working groups, and high-impact national and international forums.
  • Publish influential research, contribute to emerging standards, and help shape national discourse on AI Safety.
  • Communicate PNNL's AI capabilities and mission relevance to external stakeholders, articulating use cases, technical solutions, and emerging challenges within the broader national security landscape.
  • Mentorship & Workforce Development:
  • Support the technical and professional development of junior through senior researchers, offering guidance on research challenges, technical leadership skills, and effective collaboration practices.
  • Contribute to an inclusive and learning-oriented environment that encourages scientific rigor, safety-first innovation, and high-impact interdisciplinary work.
  • Collaborate with other senior researchers to strengthen PNNL's AI Safety workforce through mentorship, knowledge sharing, and community building.
  • *Read more about the AIDA division! (https://www.pnnl.gov/ai-and-data-analytics)
View full posting on CareerOneStop → ID: 96cc105ee0f6
Chief Data Scientist - AI Safety
Pacific Northwest National Laboratory · Richland, WA
Director Doctorate
2026-06-02
Requirements
  • Based in Richland, WA or Seattle, WA with onsite presence required
  • Clearance required (see below for details)
  • Travel may be required for stakeholder engagement, project events, and sponsor reviews.
  • BS/BA and 9+ years of relevant work experience -OR-
  • MS/MA and 7+ years of relevant work experience -OR-
  • PhD with 5+ year of relevant experience
  • U.S. Citizenship
  • Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance with 10 CFR 710, Appendix B.
  • As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.
  • For foreign national candidates:
  • If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential.
  • Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a "country of risk" without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment.
  • *Rockstar Rewards
Preferred
  • Advanced degree in computer science, engineering, data science, mathematics, or a related discipline.
  • Active DOE Q or TS/SCI clearance and ability to maintain such clearance.
  • Demonstrated impact in AI Safety (e.g., peer-reviewed publications, recognized awards, contributions to community standards).
  • National reputation in AI Safety, frontier model evaluation, trustworthy AI, secure machine learning operations, or related mission relevant technical areas.
  • Familiarity with agentic AI safety (tool-use governance, retrieval hygiene, autonomous decision workflows) and evaluation of multi-step reasoning systems.
  • Experience developing and applying cutting edge AI/ML in national security environments, with an understanding of mission needs and operational constraints.
  • Experience serving as PI or project manager on multi-institution R&D efforts.
  • Strong record of securing external funding, managing research portfolios, and initiating new R&D programs in applied AI or AI Safety domains.
  • Experience working with sponsors such as DOE, NNSA, DoD, DHS, or other mission agencies, with the ability to help shape strategic research investments.
  • Proven ability to communicate complex technical concepts to diverse audiences across government, industry, and academia.
Responsibilities
  • Our AI & Data Analytics division is seeking a Chief Data Scientist with deep expertise in data science and experience in AI Safety for national security missions. The selected candidate will lead large, multi-year research and development programs within the AI and Data Analytics Division, which includes over 400 staff specializing in data science, applied mathematics, advanced analytic architectures, software engineering, and human-centered computing. We support PNNL's mission by contributing to impactful, mission-focused applied R&D projects that help tackle national security challenges. This role requires deep technical expertise and the ability to translate emerging research into mission-ready capabilities
  • The Chief Data Scientist will shape national technical direction, engage directly with sponsors and senior leadership, and serve as a strategic partner in aligning PNNL's AI safety portfolio with evolving mission and policy requirements. This individual will guide technical direction, mentor interdisciplinary teams, and collaborate closely with software engineers to transition cutting edge research into field-ready capabilities. In addition to leading research efforts, the Chief Data Scientist will serve as a key interface with sponsors and stakeholders, leveraging domain expertise to align PNNL's research agenda with evolving mission requirements.
  • The chosen candidate will have the unique opportunity to drive real-world impact at mission tempo while supporting PNNL's mission to tackle grand challenges through science, technology, and innovation. Key responsibilities will include:
  • Strategic Leadership and Vision:
  • Shape and execute forward-looking strategies for advancing AI Safety research, evaluation methodologies, and trustworthy deployment practices within PNNL's national security mission space.
  • Partner with government sponsors as a senior technical leader, translating evolving mission priorities and operational risk considerations into actionable research direction and investment opportunities.
  • Lead high-visibility proposal development to help shape national investment in frontier-model safety, agentic AI governance, secure machine learning operations, and evaluation infrastructure.
  • Scientific and Technical Leadership:
  • Lead nationally visible AI Safety programs, ensuring technical excellence, sponsor alignment, risk-informed execution, and timely delivery of impactful results.
  • Serve as a senior technical leader in AI Safety, guiding approaches for evaluating, testing, and characterizing the behavior, risks, and emergent properties of AI models including but not limited to large language models, multimodal models, and agentic AI systems.
  • Provide technical leadership that supports interdisciplinary teams, helping shape research methodologies, data science and engineering best practices, and evaluation strategies while overseeing end-to-end analytic workflows.
  • Build and sustain collaborations across DOE laboratories, federal agencies, academia, and industry to accelerate innovation and deliver integrated, mission-aligned AI Safety capabilities.
  • Partner with software engineering and operational teams to transition research outputs into secure, scalable real-world systems that support national security missions.
  • External Influence & National Representation:
  • Represent PNNL as a senior AI Safety expert in technical exchanges, working groups, and high-impact national and international forums.
  • Publish influential research, contribute to emerging standards, and help shape national discourse on AI Safety.
  • Communicate PNNL's AI capabilities and mission relevance to external stakeholders, articulating use cases, technical solutions, and emerging challenges within the broader national security landscape.
  • Mentorship & Workforce Development:
  • Support the technical and professional development of junior through senior researchers, offering guidance on research challenges, technical leadership skills, and effective collaboration practices.
  • Contribute to an inclusive and learning-oriented environment that encourages scientific rigor, safety-first innovation, and high-impact interdisciplinary work.
  • Collaborate with other senior researchers to strengthen PNNL's AI Safety workforce through mentorship, knowledge sharing, and community building.
  • *Read more about the AIDA division! (https://www.pnnl.gov/ai-and-data-analytics)
View full posting on CareerOneStop → ID: efac35705ba0
Director, Marketing Data Science
Meta · Seattle, WA
Director Doctorate
2026-06-02
Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience, Master's degree preferred
  • 10+ years of work experience in data science or decision science (or 8+ years experience with a Ph.D.) supporting a Marketing function
  • Advanced experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and statistical/mathematical software (e.g. R)
  • Experience leading the building of statistical/computational tools in support of marketing functions
  • Advanced knowledge of marketing analytics, survey design, and statistical methods
  • Very comfortable personally using AI tools and transforming organizations to be AI-Native
  • Strong leadership skills, with the ability to operate autonomously and manage cross-functional teams
  • Excellent stakeholder management and communication skills, with experience presenting to executive leadership
Preferred
  • Previous experience in Public Affairs Marketing or Public Opinion Polling
  • 3+ years in Corporate Communications Analytics (e.g. social listening)
  • Expertise in high-frequency measurement models, campaign optimization, and real-time reporting
Responsibilities
  • We are seeking a highly experienced Senior Marketing Data Science Leader to drive measurement, analytics, and strategy across Corporate, Public Affairs, AI Marketing and Corporate Communications at Meta. This role is pivotal in supporting high-impact marketing campaigns, developing innovative measurement frameworks, and collaborating with executive leadership to optimize marketing effectiveness.
  • Lead Measurement & Analytics: Oversee the measurement of campaigns, including AI Marketing, Corporate Marketing, and Public Affairs. Develop and refine high-frequency measurement models for real-time campaign optimization and reporting.
  • Strategic Campaign Support: Partner with VPs and Directors to design, execute, and evaluate marketing campaigns across multiple regions and business units. Lead the development of holdout strategies and funnel analysis to validate campaign effectiveness.
  • Innovation & Efficiency: Invent and implement new measurement programs to consolidate trackers, enhance efficiency, and optimize resource allocation.
  • Cross-Functional Leadership: Operate with autonomy, managing a team of ~15 and collaborating with cross-functional partners in Product, Research, and Corporate Marketing. Support recruiting and interview process improvements for Marketing Data Science.
  • Stakeholder Engagement: Serve as a direct report to the VP, Marketing Data Science, and engage with peers at the Director level. Present findings and recommendations to senior leadership, influencing strategic decisions.
  • Community & Thought Leadership: Amplify the impact of Meta's Analytics community through blog contributions, paid media strategies, and recruiting initiatives.
View full posting on CareerOneStop → ID: 745721090f79
Director, Marketing Data Science
Meta · Bellevue, WA
Director
2026-06-02
Requirements
  • Advanced experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and statistical/mathematical software (e.g. R)
  • Very comfortable personally using AI tools and transforming organizations to be AI-Native
  • Strong leadership skills, with the ability to operate autonomously and manage cross-functional teams
  • Excellent stakeholder management and communication skills, with experience presenting to executive leadership
Preferred
  • Previous experience in Public Affairs Marketing or Public Opinion Polling
  • 3+ years in Corporate Communications Analytics (e.g. social listening)
  • Expertise in high-frequency measurement models, campaign optimization, and real-time reporting
Responsibilities
  • We are seeking a highly experienced Senior Marketing Data Science Leader to drive measurement, analytics, and strategy across Corporate, Public Affairs, AI Marketing and Corporate Communications at Meta. This role is pivotal in supporting high-impact marketing campaigns, developing innovative measurement frameworks, and collaborating with executive leadership to optimize marketing effectiveness.
  • Lead Measurement & Analytics: Oversee the measurement of campaigns, including AI Marketing, Corporate Marketing, and Public Affairs. Develop and refine high-frequency measurement models for real-time campaign optimization and reporting.
  • Strategic Campaign Support: Partner with VPs and Directors to design, execute, and evaluate marketing campaigns across multiple regions and business units. Lead the development of holdout strategies and funnel analysis to validate campaign effectiveness.
  • Innovation & Efficiency: Invent and implement new measurement programs to consolidate trackers, enhance efficiency, and optimize resource allocation.
  • Cross-Functional Leadership: Operate with autonomy, managing a team of ~15 and collaborating with cross-functional partners in Product, Research, and Corporate Marketing. Support recruiting and interview process improvements for Marketing Data Science.
  • Stakeholder Engagement: Serve as a direct report to the VP, Marketing Data Science, and engage with peers at the Director level. Present findings and recommendations to senior leadership, influencing strategic decisions.
  • Community & Thought Leadership: Amplify the impact of Meta's Analytics community through blog contributions, paid media strategies, and recruiting initiatives.
View full posting on CareerOneStop → ID: 93f4a2aa0221
Director, Data Science
Norstella · Boise, ID
Director Doctorate
2026-05-15
Requirements
  • 10+ years of experience developing and deploying AI/ML applications and delivering data-driven solutions at scale
  • Demonstrated experience leading and managing data science teams, including hiring, performance management, and talent development
  • Proven track record of building and scaling high-performing teams - including designing leveling frameworks, mentorship programs, and succession planning
  • Deep hands-on expertise in Generative AI, Large Language Models (LLMs), Agentic AI systems, and advanced NLP/Deep Learning techniques
  • Practical experience with LLM application design: prompt engineering, retrieval-augmented generation (RAG), model fine-tuning, tool use, and multi-agent orchestration frameworks (e.g., LangChain, LlamaIndex, AutoGen)
  • Graduate degree (Master's or PhD) in Computer Science, Engineering, Statistics, or a related quantitative discipline, or equivalent professional experience
  • Strong command of Python and core data science libraries (Pandas, NumPy, scikit-learn, PyTorch/TensorFlow)
  • Deep understanding of CS fundamentals, computational complexity, and algorithm design
  • Experience architecting and delivering large-scale distributed systems in an agile environment, including rapid prototyping and iterative development
  • Excellent communication and stakeholder management skills - able to translate complex technical concepts for executive and non-technical audiences
Preferred
  • PhD in Computer Science with an AI/ML research focus and publications in top-tier venues
  • Experience in the healthcare or life sciences domain; familiarity with applying AI to pharmaceutical or market access data
  • Hands-on experience with AWS ML infrastructure: SageMaker, Lambda, S3, Snowflake, and related services
  • Experience with knowledge graphs, structured reasoning, and hybrid retrieval architectures
  • Prior experience operating at Director level or equivalent in a fast-paced, data-driven organization
Responsibilities
  • As Director of Data Science at Norstella, you will set the strategic vision for our data science capabilities and lead a high-performing team of data scientists and engineers. You will be a technical authority and a people-first leader - building talent, shaping culture, and delivering AI-powered solutions that have a direct impact on patient access to life-saving therapies.
  • Define and own the data science strategy, aligning closely with product, engineering, and executive leadership to drive roadmap prioritization
  • Lead, mentor, and grow a team of data scientists and ML engineers - fostering a culture of excellence, curiosity, and continuous learning
  • Build and develop talent: recruit top-tier data science professionals, design career development frameworks, and create pathways for growth at all levels
  • Champion the adoption of GenAI, Agentic AI, and LLM-powered architectures across the organization - defining reference frameworks for tool use, code interpretation, retrieval-augmented generation (RAG), and multi-agent workflows
  • Collaborate with product leadership to identify, elaborate, and prioritize high-impact projects
  • Oversee the delivery of AI-enabled microservices in collaboration with content and product engineering teams
  • Define and evolve engineering standards, best practices, and architectural patterns for scalable, production-grade AI systems
  • Stay at the cutting edge of AI/ML research; deliver regular presentations to internal stakeholders on emerging trends and their strategic implications
  • Partner cross-functionally to ensure data science solutions are operationalized effectively and drive measurable business value
  • All other duties, as assigned.
View full posting on CareerOneStop → ID: 6593366915af
Director, Data Science
Norstella · Salem, OR
Director Doctorate
2026-05-15
Requirements
  • 10+ years of experience developing and deploying AI/ML applications and delivering data-driven solutions at scale
  • Demonstrated experience leading and managing data science teams, including hiring, performance management, and talent development
  • Proven track record of building and scaling high-performing teams - including designing leveling frameworks, mentorship programs, and succession planning
  • Deep hands-on expertise in Generative AI, Large Language Models (LLMs), Agentic AI systems, and advanced NLP/Deep Learning techniques
  • Practical experience with LLM application design: prompt engineering, retrieval-augmented generation (RAG), model fine-tuning, tool use, and multi-agent orchestration frameworks (e.g., LangChain, LlamaIndex, AutoGen)
  • Graduate degree (Master's or PhD) in Computer Science, Engineering, Statistics, or a related quantitative discipline, or equivalent professional experience
  • Strong command of Python and core data science libraries (Pandas, NumPy, scikit-learn, PyTorch/TensorFlow)
  • Deep understanding of CS fundamentals, computational complexity, and algorithm design
  • Experience architecting and delivering large-scale distributed systems in an agile environment, including rapid prototyping and iterative development
  • Excellent communication and stakeholder management skills - able to translate complex technical concepts for executive and non-technical audiences
Preferred
  • PhD in Computer Science with an AI/ML research focus and publications in top-tier venues
  • Experience in the healthcare or life sciences domain; familiarity with applying AI to pharmaceutical or market access data
  • Hands-on experience with AWS ML infrastructure: SageMaker, Lambda, S3, Snowflake, and related services
  • Experience with knowledge graphs, structured reasoning, and hybrid retrieval architectures
  • Prior experience operating at Director level or equivalent in a fast-paced, data-driven organization
Responsibilities
  • As Director of Data Science at Norstella, you will set the strategic vision for our data science capabilities and lead a high-performing team of data scientists and engineers. You will be a technical authority and a people-first leader - building talent, shaping culture, and delivering AI-powered solutions that have a direct impact on patient access to life-saving therapies.
  • Define and own the data science strategy, aligning closely with product, engineering, and executive leadership to drive roadmap prioritization
  • Lead, mentor, and grow a team of data scientists and ML engineers - fostering a culture of excellence, curiosity, and continuous learning
  • Build and develop talent: recruit top-tier data science professionals, design career development frameworks, and create pathways for growth at all levels
  • Champion the adoption of GenAI, Agentic AI, and LLM-powered architectures across the organization - defining reference frameworks for tool use, code interpretation, retrieval-augmented generation (RAG), and multi-agent workflows
  • Collaborate with product leadership to identify, elaborate, and prioritize high-impact projects
  • Oversee the delivery of AI-enabled microservices in collaboration with content and product engineering teams
  • Define and evolve engineering standards, best practices, and architectural patterns for scalable, production-grade AI systems
  • Stay at the cutting edge of AI/ML research; deliver regular presentations to internal stakeholders on emerging trends and their strategic implications
  • Partner cross-functionally to ensure data science solutions are operationalized effectively and drive measurable business value
  • All other duties, as assigned.
View full posting on CareerOneStop → ID: 53e9df0c11dc
Director, Data Science
Norstella · Olympia, WA
Director Doctorate
2026-05-15
Requirements
  • 10+ years of experience developing and deploying AI/ML applications and delivering data-driven solutions at scale
  • Demonstrated experience leading and managing data science teams, including hiring, performance management, and talent development
  • Proven track record of building and scaling high-performing teams - including designing leveling frameworks, mentorship programs, and succession planning
  • Deep hands-on expertise in Generative AI, Large Language Models (LLMs), Agentic AI systems, and advanced NLP/Deep Learning techniques
  • Practical experience with LLM application design: prompt engineering, retrieval-augmented generation (RAG), model fine-tuning, tool use, and multi-agent orchestration frameworks (e.g., LangChain, LlamaIndex, AutoGen)
  • Graduate degree (Master's or PhD) in Computer Science, Engineering, Statistics, or a related quantitative discipline, or equivalent professional experience
  • Strong command of Python and core data science libraries (Pandas, NumPy, scikit-learn, PyTorch/TensorFlow)
  • Deep understanding of CS fundamentals, computational complexity, and algorithm design
  • Experience architecting and delivering large-scale distributed systems in an agile environment, including rapid prototyping and iterative development
  • Excellent communication and stakeholder management skills - able to translate complex technical concepts for executive and non-technical audiences
Preferred
  • PhD in Computer Science with an AI/ML research focus and publications in top-tier venues
  • Experience in the healthcare or life sciences domain; familiarity with applying AI to pharmaceutical or market access data
  • Hands-on experience with AWS ML infrastructure: SageMaker, Lambda, S3, Snowflake, and related services
  • Experience with knowledge graphs, structured reasoning, and hybrid retrieval architectures
  • Prior experience operating at Director level or equivalent in a fast-paced, data-driven organization
Responsibilities
  • As Director of Data Science at Norstella, you will set the strategic vision for our data science capabilities and lead a high-performing team of data scientists and engineers. You will be a technical authority and a people-first leader - building talent, shaping culture, and delivering AI-powered solutions that have a direct impact on patient access to life-saving therapies.
  • Define and own the data science strategy, aligning closely with product, engineering, and executive leadership to drive roadmap prioritization
  • Lead, mentor, and grow a team of data scientists and ML engineers - fostering a culture of excellence, curiosity, and continuous learning
  • Build and develop talent: recruit top-tier data science professionals, design career development frameworks, and create pathways for growth at all levels
  • Champion the adoption of GenAI, Agentic AI, and LLM-powered architectures across the organization - defining reference frameworks for tool use, code interpretation, retrieval-augmented generation (RAG), and multi-agent workflows
  • Collaborate with product leadership to identify, elaborate, and prioritize high-impact projects
  • Oversee the delivery of AI-enabled microservices in collaboration with content and product engineering teams
  • Define and evolve engineering standards, best practices, and architectural patterns for scalable, production-grade AI systems
  • Stay at the cutting edge of AI/ML research; deliver regular presentations to internal stakeholders on emerging trends and their strategic implications
  • Partner cross-functionally to ensure data science solutions are operationalized effectively and drive measurable business value
  • All other duties, as assigned.
View full posting on CareerOneStop → ID: 3149ede13fe7
Director, Data Science
Norstella · Helena, MT
Director
2026-05-15
View full posting on CareerOneStop → ID: f8062d67e1f8
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Olympia, WA
Director Doctorate
2026-05-13
Requirements
  • Director, Data Science - AI for Work (AI4W) Ecosystem Responsibilities:
  • Collaborate with Engineering, Product, and cross-functional teams to inform, influence, support, and execute strategy and investment decisions for Meta.
  • Contribute to the long-term technical vision and strategy for analytics methods and metrics to enhance the quality and efficiency of our platforms at scale.
  • Work with engineering and other data scientists to build and improve AI development, automation, experimentation, and measurement methods and metrics, ensuring high-quality throughput and impact.
  • Develop an understanding of complex, large-scale AI development, experimentation, and measurement systems, as well as broader industry challenges, to identify current and future risks and opportunities.
  • Inspire, and lead a team of data scientists and managers across multiple teams in close collaboration with other Data Science Directors and Managers.
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 10+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development
  • Experience working effectively with multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance
  • Experience framing and communication skills
Preferred
  • Masters or Ph.D. Degree in a quantitative field
  • Experience with predictive modeling, machine learning, and experimentation/causal inference methods
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Responsibilities
  • AI for Work (AI4W) is Meta's company-wide effort to integrate AI into every tool, team, and process at Meta. This role will be the founding senior IC on a new "AI4W Ecosystem" analytics team.We are seeking a Data Science Director (IC) who is passionate about developing, measuring, and strategizing investments of Meta's products. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
View full posting on CareerOneStop → ID: 78590a86e3e2
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Olympia, WA
Director Doctorate
2026-05-13
Requirements
  • Director, Data Science - AI for Work (AI4W) Ecosystem Responsibilities:
  • Collaborate with Engineering, Product, and cross-functional teams to inform, influence, support, and execute strategy and investment decisions for Meta.
  • Contribute to the long-term technical vision and strategy for analytics methods and metrics to enhance the quality and efficiency of our platforms at scale.
  • Work with engineering and other data scientists to build and improve AI development, automation, experimentation, and measurement methods and metrics, ensuring high-quality throughput and impact.
  • Develop an understanding of complex, large-scale AI development, experimentation, and measurement systems, as well as broader industry challenges, to identify current and future risks and opportunities.
  • Inspire, and lead a team of data scientists and managers across multiple teams in close collaboration with other Data Science Directors and Managers.
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 10+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development
  • Experience working effectively with multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance
  • Experience framing and communication skills
Preferred
  • Masters or Ph.D. Degree in a quantitative field
  • Experience with predictive modeling, machine learning, and experimentation/causal inference methods
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Responsibilities
  • AI for Work (AI4W) is Meta's company-wide effort to integrate AI into every tool, team, and process at Meta. This role will be the founding senior IC on a new "AI4W Ecosystem" analytics team.We are seeking a Data Science Director (IC) who is passionate about developing, measuring, and strategizing investments of Meta's products. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
View full posting on CareerOneStop → ID: 5466a2cf6504
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Boise, ID
Director
2026-05-13
View full posting on CareerOneStop → ID: 85d207c38bdb
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Salem, OR
Director
2026-05-13
View full posting on CareerOneStop → ID: 666484586807
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Salem, OR
Director
2026-05-13
View full posting on CareerOneStop → ID: 547b2bd3115a
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Helena, MT
Director
2026-05-13
View full posting on CareerOneStop → ID: b5856f1a685a
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Cheyenne, WY
Director
2026-05-13
View full posting on CareerOneStop → ID: 59e234916d06
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Salt Lake City, UT
Director
2026-05-13
View full posting on CareerOneStop → ID: f53ce2f47f59
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Pierre, SD
Director
2026-05-13
View full posting on CareerOneStop → ID: f101009e3aef
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Bismarck, ND
Director
2026-05-13
View full posting on CareerOneStop → ID: 35cff1563019
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Carson City, NV
Director
2026-05-13
View full posting on CareerOneStop → ID: a6a7f0418587
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Carson City, NV
Director
2026-05-13
View full posting on CareerOneStop → ID: 35a0d95c1787
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Denver, CO
Director
2026-05-13
View full posting on CareerOneStop → ID: 807fefa56950
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Pierre, SD
Director
2026-05-13
View full posting on CareerOneStop → ID: 0340a4c97432
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Sacramento, CA
Director
2026-05-13
View full posting on CareerOneStop → ID: a822000db3b3
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Cheyenne, WY
Director
2026-05-13
View full posting on CareerOneStop → ID: a5e44831a4ab
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Salt Lake City, UT
Director
2026-05-13
View full posting on CareerOneStop → ID: 51bfe3fc12e6
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Bismarck, ND
Director
2026-05-13
View full posting on CareerOneStop → ID: 56b214e60b04
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Phoenix, AZ
Director
2026-05-13
View full posting on CareerOneStop → ID: ec58b913fedb
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Santa Fe, NM
Director
2026-05-13
View full posting on CareerOneStop → ID: 891146a46105
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Santa Fe, NM
Director
2026-05-13
View full posting on CareerOneStop → ID: 8ee7c16731cf
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Lincoln, NE
Director
2026-05-13
View full posting on CareerOneStop → ID: 2c09f0a2bb98
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Lincoln, NE
Director
2026-05-13
View full posting on CareerOneStop → ID: df0b5334387f
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Topeka, KS
Director
2026-05-13
View full posting on CareerOneStop → ID: e5e92dd4df81
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Oklahoma City, OK
Director
2026-05-13
View full posting on CareerOneStop → ID: 66aeebe84928
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Oklahoma City, OK
Director
2026-05-13
View full posting on CareerOneStop → ID: fdeaf931bcf8
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Austin, TX
Director
2026-05-13
View full posting on CareerOneStop → ID: 6ac036a62eb0
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Austin, TX
Director
2026-05-13
View full posting on CareerOneStop → ID: 4fa1cb0dfcf4
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Saint Paul, MN
Director
2026-05-13
View full posting on CareerOneStop → ID: 8b35ed1f05eb
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Des Moines, IA
Director
2026-05-13
View full posting on CareerOneStop → ID: e366d88a1034
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Jefferson City, MO
Director
2026-05-13
View full posting on CareerOneStop → ID: 9957af6fab14
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Little Rock, AR
Director
2026-05-13
View full posting on CareerOneStop → ID: 7d531596dd0a
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Baton Rouge, LA
Director
2026-05-13
View full posting on CareerOneStop → ID: eb5c8ab0d09e
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Madison, WI
Director
2026-05-13
View full posting on CareerOneStop → ID: babab41d4932
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Madison, WI
Director
2026-05-13
View full posting on CareerOneStop → ID: 2c155de6a944
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Springfield, IL
Director
2026-05-13
View full posting on CareerOneStop → ID: f1da104817fc
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Jackson, MS
Director
2026-05-13
View full posting on CareerOneStop → ID: eb23276414be
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Montgomery, AL
Director
2026-05-13
View full posting on CareerOneStop → ID: 8359e2e39d93
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Nashville, TN
Director
2026-05-13
View full posting on CareerOneStop → ID: 642b7134383a
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Nashville, TN
Director
2026-05-13
View full posting on CareerOneStop → ID: 0c9f3386b3fd
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Frankfort, KY
Director
2026-05-13
View full posting on CareerOneStop → ID: b2ee8e3a94a2
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Atlanta, GA
Director
2026-05-13
View full posting on CareerOneStop → ID: 0f3dc71d026c
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Raleigh, NC
Director
2026-05-13
View full posting on CareerOneStop → ID: 4d178f2119a0
Director, Data Science - AI for Work (AI4W) Ecosystem
Meta · Raleigh, NC
Director
2026-05-13
View full posting on CareerOneStop → ID: a0591b8af2bc
AI/ML Engineer - Vice President (Seattle, WA)
Goldman Sachs · Seattle, WA
Director
2026-05-13
View full posting on CareerOneStop → ID: 8424c149c513
AI & GenAI Data Scientist - EUR- Director
PwC · Seattle, WA
Director Master's
2026-05-10
Requirements
  • Bachelor's Degree
  • 10 years of experience
  • What Sets You Apart
  • Master's Degree preferred
  • Managing AI and GenAI solution development teams
  • Experience in Energy and Utilities Industry
  • Documenting and analyzing business processes for AI
  • Designing AI/GenAI architectures for plugin-based solutions
  • Managing global data and analytics team operations
  • Leading development of proof of concepts and pilots
  • Facilitating executive level presentations on GenAI solutions
  • Managing GenAI application development teams
  • Experience with Python, LLM frameworks, and cloud platforms
  • The salary range for this position is: $155,000 - $410,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance
Responsibilities
  • Guide the strategic direction for AI and GenAI solution development
  • Develop and refine AI/GenAI architectures for client needs
  • Foster collaboration across data and analytics teams
  • Align with client objectives and industry standards
  • Promote technological advancements in data-driven solutions
View full posting on CareerOneStop → ID: a637e47c1997
AI & GenAI Data Scientist - EUR- Director
PwC · Portland, OR
Director Master's
2026-05-10
Requirements
  • Bachelor's Degree
  • 10 years of experience
  • What Sets You Apart
  • Master's Degree preferred
  • Managing AI and GenAI solution development teams
  • Experience in Energy and Utilities Industry
  • Documenting and analyzing business processes for AI
  • Designing AI/GenAI architectures for plugin-based solutions
  • Managing global data and analytics team operations
  • Leading development of proof of concepts and pilots
  • Facilitating executive level presentations on GenAI solutions
  • Managing GenAI application development teams
  • Experience with Python, LLM frameworks, and cloud platforms
  • The salary range for this position is: $155,000 - $410,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance
Responsibilities
  • Guide the strategic direction for AI and GenAI solution development
  • Develop and refine AI/GenAI architectures for client needs
  • Foster collaboration across data and analytics teams
  • Align with client objectives and industry standards
  • Promote technological advancements in data-driven solutions
View full posting on CareerOneStop → ID: 8b9a9c3e88cc
AI & GenAI Data Scientist - EUR- Director
PwC · Salt Lake City, UT
Director
2026-05-10
View full posting on CareerOneStop → ID: 78b0843afdae
AI & GenAI Data Scientist - EUR- Director
PwC · Las Vegas, NV
Director
2026-05-10
View full posting on CareerOneStop → ID: fdfd8ab77b16
AI & GenAI Data Scientist - EUR- Director
PwC · Sacramento, CA
Director
2026-05-10
View full posting on CareerOneStop → ID: b690c49b38df
AI & GenAI Data Scientist - EUR- Director
PwC · Irvine, CA
Director
2026-05-10
View full posting on CareerOneStop → ID: 3c35082d6a90
AI & GenAI Data Scientist - EUR- Director
PwC · San Jose, CA
Director
2026-05-10
View full posting on CareerOneStop → ID: b13730babfc3
AI & GenAI Data Scientist - EUR- Director
PwC · San Diego, CA
Director
2026-05-10
View full posting on CareerOneStop → ID: baf59403ac51
AI & GenAI Data Scientist - EUR- Director
PwC · San Francisco, CA
Director
2026-05-10
View full posting on CareerOneStop → ID: c610be27eddd
AI & GenAI Data Scientist - EUR- Director
PwC · Los Angeles, CA
Director
2026-05-10
View full posting on CareerOneStop → ID: ee981fe1468f
AI & GenAI Data Scientist - EUR- Director
PwC · Phoenix, AZ
Director
2026-05-10
View full posting on CareerOneStop → ID: 622a9c54f252
AI & GenAI Data Scientist - EUR- Director
PwC · Denver, CO
Director
2026-05-10
View full posting on CareerOneStop → ID: 8123016d959b
AI & GenAI Data Scientist - EUR- Director
PwC · Tulsa, OK
Director
2026-05-10
View full posting on CareerOneStop → ID: 2c1cde9bc7de
AI & GenAI Data Scientist - EUR- Director
PwC · Oklahoma City, OK
Director
2026-05-10
View full posting on CareerOneStop → ID: 2f43f872c6cb
AI & GenAI Data Scientist - EUR- Director
PwC · Dallas, TX
Director
2026-05-10
View full posting on CareerOneStop → ID: ef6f85877602
AI & GenAI Data Scientist - EUR- Director
PwC · San Antonio, TX
Director
2026-05-10
View full posting on CareerOneStop → ID: f3c5e6c4f7a0
AI & GenAI Data Scientist - EUR- Director
PwC · Austin, TX
Director
2026-05-10
View full posting on CareerOneStop → ID: 44e6156a231e
AI & GenAI Data Scientist - EUR- Director
PwC · Fort Worth, TX
Director
2026-05-10
View full posting on CareerOneStop → ID: b0afcf17b4bc
AI & GenAI Data Scientist - EUR- Director
PwC · Houston, TX
Director
2026-05-10
View full posting on CareerOneStop → ID: d2f448213ec2
AI & GenAI Data Scientist - EUR- Director
PwC · Minneapolis, MN
Director
2026-05-10
View full posting on CareerOneStop → ID: d7ee1e2906c8
AI & GenAI Data Scientist - EUR- Director
PwC · Des Moines, IA
Director
2026-05-10
View full posting on CareerOneStop → ID: 147889cf8655
AI & GenAI Data Scientist - EUR- Director
PwC · Saint Louis, MO
Director
2026-05-10
View full posting on CareerOneStop → ID: cc96598a53e2
AI & GenAI Data Scientist - EUR- Director
PwC · Kansas City, MO
Director
2026-05-10
View full posting on CareerOneStop → ID: da5ddd8f64ea
AI & GenAI Data Scientist - EUR- Director
PwC · Little Rock, AR
Director
2026-05-10
View full posting on CareerOneStop → ID: 8bc029e40c1a
AI & GenAI Data Scientist - EUR- Director
PwC · Fayetteville, AR
Director
2026-05-10
View full posting on CareerOneStop → ID: 3ba1a2e33dc7
AI & GenAI Data Scientist - EUR- Director
PwC · New Orleans, LA
Director
2026-05-10
View full posting on CareerOneStop → ID: 7bfc4e0b36b8
AI & GenAI Data Scientist - EUR- Director
PwC · Milwaukee, WI
Director
2026-05-10
View full posting on CareerOneStop → ID: b757fe3e7234
AI & GenAI Data Scientist - EUR- Director
PwC · Chicago, IL
Director
2026-05-10
View full posting on CareerOneStop → ID: 40014e37b249
AI & GenAI Data Scientist - EUR- Director
PwC · Rosemont, IL
Director
2026-05-10
View full posting on CareerOneStop → ID: f3e9a1f4e341
AI & GenAI Data Scientist - EUR- Director
PwC · Birmingham, AL
Director
2026-05-10
View full posting on CareerOneStop → ID: 1e7e4a9d031d
AI & GenAI Data Scientist - EUR- Director
PwC · Nashville, TN
Director
2026-05-10
View full posting on CareerOneStop → ID: 23a901687232
AI & GenAI Data Scientist - EUR- Director
PwC · Louisville, KY
Director
2026-05-10
View full posting on CareerOneStop → ID: 40d213280b7b
Director, Data Science - AI Product & Risk
UnitedHealth Group · Minnetonka, MN
Director
2026-05-08
View full posting on CareerOneStop → ID: c7e3c98dba80
Sr. Director, AI/ML Engineering - Remote
UnitedHealth Group · Eden Prairie, MN
Director
2026-05-08
View full posting on CareerOneStop → ID: b49fc32b6fbe
Associate Director, Medical Omnichannel Data Scientist (Remote)
Otsuka America Pharmaceutical Inc. · Olympia, WA
Director Bachelor's
2026-05-06
Requirements
  • Bachelor's degree in data sciences, computer science and 4-6 years of relevant experience
Preferred
  • Demonstrated experience with scripting and implementing data analytics algorithms and models. Hands on experience using a modeling and simulation software (e.g. Python, Matlab, R, NONMEM, SAS, S-Plus, etc.) is a plus.
  • Knowledge/Experience in the usage of machine learning/AI tools in life science area(s) and handling life science datasets is preferred.
  • Excellent interpersonal, technical, and communication skills to lead cross-functional teams.
  • Profound grasp of Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop.
  • Have implemented machine learning projects from initiation through completion with particular focus on automated deployment and ensuring optimized performance.
  • Agile skills and experience
  • Experience in Healthcare (esp. US) industry is a plus.
  • *Accountability for Results - Stay focused on key strategic objectives, be accountable for high standards of performance, and take an active role in leading change.
  • *Strategic Thinking & Problem Solving - Make decisions considering the long-term impact to customers, patients, employees, and the business.
  • *Patient & Customer Centricity - Maintain an ongoing focus on the needs of our customers and/or key stakeholders.
  • *Impactful Communication - Communicate with logic, clarity, and respect. Influence at all levels to achieve the best results for Otsuka.
  • *Respectful Collaboration - Seek and value others' perspectives and strive for diverse partnerships to enhance work toward common goals.
  • *Empowered Development - Play an active role in professional development as a business imperative.
  • Minimum $169,222.00 - Maximum $253,000.00, plus incentive opportunity: The range shown represents a typical pay range or starting pay for individuals who are hired in the role to perform in the United States. Other elements may be used to determine actual pay such as the candidate's job experience, specific skills, and comparison to internal incumbents currently in role. Typically, actual pay will be positioned within the established range, rather than at its minimum or maximum. This information is provided to applicants in accordance with states and local laws.
Responsibilities
  • The Omnichannel Center of Excellence is dedicated to driving innovation, building, and delivering capabilities that enhance Otsuka's opportunity to make an impact in the lives of those we serve. We achieve this through our relentless focus on customer centricity, patient empathy, expertise in enabling pathways for disease education and awareness of management options, and our unwavering commitment to supporting access to treatment.
  • We are looking for an Omnichannel Data Scientist , Medical Omnichannel with strong expertise in artificial intelligence, encompassing machine learning, data mining, and information retrieval. This position specifically entails the conceptualization, prototyping and development of next generation advanced analytics model-based decision engines and services. The ideal candidate will engage closely with key stakeholders to understand strategic objectives and leverage advanced data analytics and machine learning techniques to enhance communication strategies, ensuring seamless and personalized interactions with healthcare professionals (HCPs) and key opinion leaders (KOLs).
  • *Data Integration & Management
  • Explore and analyze common pharmaceuticals data (e.g., claims) as well as novel data sets based on lab and EHR systems. Work with Omnichannel Data Engineer to Integrate data from multiple sources (e.g., CRM systems, social media, email platforms) to create a unified view of stakeholder interactions.
  • Apply natural language processing (NLP) to extract insights from unstructured medical texts, such as clinical notes or call center transcripts.
  • Identifying relevant data drivers (features) that can inform decision making closely tied with strategy and creating visualizations to help communicate findings.
  • *Advanced Analytics & Modeling
  • Implement advanced analytics models, including predictive analytics and clustering algorithms, to generate actionable insights and track trends across various channels.
  • Work with Omnichannel ML/Ops engineer to build, test, and deploy production-grade predictive models and algorithms as part of the Omnichannel COE decision engine to meet business needs, including optimization of sales activities and predicting drivers of customer behavior.
  • Create repeatable, interpretable, dynamic, and scalable models that are seamlessly incorporated into analytic data products and match the needs of Otsuka's growing portfolio.
  • Collaborate on MLOPS life cycle experience with MLOPS workflows traceability and versioning of datasets. Build and maintain familiarity with Otsuka Machine Learning tech stack including AWS, Kubernetes, Snowflake, and Dataiku
  • *Omnichannel Optimization
  • Design and deploy recommendation systems to tailor communications based on stakeholder preferences and behaviors. Utilize machine learning algorithms (e.g., collaborative filtering, content-based filtering) to enhance personalization efforts.
  • Analyze the performance of omnichannel campaigns (email, SMS, in-app, HCP portals, etc.) to identify high-impact touchpoints and optimize engagement strategies. Use A/B testing and uplift modeling to evaluate the effectiveness of different communication strategies and content types.
  • *Stakeholder Collaboration
  • Effectively communicating analytical approach to address strategic objectives to business partners.
  • Work closely with medical affairs, marketing, and IT teams to ensure alignment and integration of omnichannel strategies. Provide technical guidance and support to cross-functional teams on data-related projects.
  • Stay updated with emerging industrial trends (Conferences and community engagement) and develop strategic industry partnerships on Omnichannel analytics to strengthen Otsuka's analytical methods and outcomes.
  • Model Otsuka's core competencies (Accountability for Results, Strategic Thinking & Problem Solving, Patient & Customer Centricity, Impact Communications, Respectful Collaboration & Empowered Development) that define how we work together at Otsuka. Key matrixed partners included: Brand Marketing, Creative / CRM / Digital agencies, Media, Market Research, Analytics, Otsuka Information Technology (OIT), Sales Operations, and Medical/Regulatory/Legal integrated business partners.
View full posting on CareerOneStop → ID: 78775408b027
Associate Director, Medical Omnichannel Data Scientist (Remote)
Otsuka America Pharmaceutical Inc. · Boise, ID
Director
2026-05-06
View full posting on CareerOneStop → ID: 13275226f156
Associate Director, Medical Omnichannel Data Scientist (Remote)
Otsuka America Pharmaceutical Inc. · Salem, OR
Director
2026-05-06
View full posting on CareerOneStop → ID: 2df07a25fa60
Associate Director, Medical Omnichannel Data Scientist (Remote)
Otsuka America Pharmaceutical Inc. · Helena, MT
Director
2026-05-06
View full posting on CareerOneStop → ID: 0e4ab639d39c
Associate Director, Medical Omnichannel Data Scientist (Remote)
Otsuka America Pharmaceutical Inc. · Cheyenne, WY
Director
2026-05-06
View full posting on CareerOneStop → ID: bc136e8100c3
Associate Director, Medical Omnichannel Data Scientist (Remote)
Otsuka America Pharmaceutical Inc. · Salt Lake City, UT
Director
2026-05-06
View full posting on CareerOneStop → ID: 9a0d2298f957
Associate Director, Medical Omnichannel Data Scientist (Remote)
Otsuka America Pharmaceutical Inc. · Carson City, NV
Director
2026-05-06
View full posting on CareerOneStop → ID: cc2f69b57082
Associate Director, Medical Omnichannel Data Scientist (Remote)
Otsuka America Pharmaceutical Inc. · Bismarck, ND
Director
2026-05-06
View full posting on CareerOneStop → ID: 6a2a8bfde590
Associate Director, Medical Omnichannel Data Scientist (Remote)
Otsuka America Pharmaceutical Inc. · Pierre, SD
Director
2026-05-06
View full posting on CareerOneStop → ID: b108bd95b5e1
Associate Director, Medical Omnichannel Data Scientist (Remote)
Otsuka America Pharmaceutical Inc. · Phoenix, AZ
Director
2026-05-06
View full posting on CareerOneStop → ID: d7d240762a7b
Associate Director, Medical Omnichannel Data Scientist (Remote)
Otsuka America Pharmaceutical Inc. · Santa Fe, NM
Director
2026-05-06
View full posting on CareerOneStop → ID: 4486028692d0
Associate Director, Medical Omnichannel Data Scientist (Remote)
Otsuka America Pharmaceutical Inc. · Denver, CO
Director
2026-05-06
View full posting on CareerOneStop → ID: 5b2ec991c1b2
Associate Director, Medical Omnichannel Data Scientist (Remote)
Otsuka America Pharmaceutical Inc. · Lincoln, NE
Director
2026-05-06
View full posting on CareerOneStop → ID: 5dc0023113db
Associate Director, Medical Omnichannel Data Scientist (Remote)
Otsuka America Pharmaceutical Inc. · Topeka, KS
Director
2026-05-06
View full posting on CareerOneStop → ID: 92e477636518
Associate Director, Medical Omnichannel Data Scientist (Remote)
Otsuka America Pharmaceutical Inc. · Oklahoma City, OK
Director
2026-05-06
View full posting on CareerOneStop → ID: 3245d0993356
Associate Director, Medical Omnichannel Data Scientist (Remote)
Otsuka America Pharmaceutical Inc. · Saint Paul, MN
Director
2026-05-06
View full posting on CareerOneStop → ID: 55c3a7c84e98
Associate Director, Medical Omnichannel Data Scientist (Remote)
Otsuka America Pharmaceutical Inc. · Des Moines, IA
Director
2026-05-06
View full posting on CareerOneStop → ID: 1659bff0534b
Associate Director, Medical Omnichannel Data Scientist (Remote)
Otsuka America Pharmaceutical Inc. · Jefferson City, MO
Director
2026-05-06
View full posting on CareerOneStop → ID: f10722a50915
Associate Director, Medical Omnichannel Data Scientist (Remote)
Otsuka America Pharmaceutical Inc. · Little Rock, AR
Director
2026-05-06
View full posting on CareerOneStop → ID: 3f7d642fb02f
Associate Director, Medical Omnichannel Data Scientist (Remote)
Otsuka America Pharmaceutical Inc. · Baton Rouge, LA
Director
2026-05-06
View full posting on CareerOneStop → ID: 7af038678b70
Associate Director, Medical Omnichannel Data Scientist (Remote)
Otsuka America Pharmaceutical Inc. · Madison, WI
Director
2026-05-06
View full posting on CareerOneStop → ID: 323784a2f2cd
Associate Director, Medical Omnichannel Data Scientist (Remote)
Otsuka America Pharmaceutical Inc. · Springfield, IL
Director
2026-05-06
View full posting on CareerOneStop → ID: fd72f7b87d92
Associate Director, Medical Omnichannel Data Scientist (Remote)
Otsuka America Pharmaceutical Inc. · Jackson, MS
Director
2026-05-06
View full posting on CareerOneStop → ID: ea6c15613275
Associate Director, Medical Omnichannel Data Scientist (Remote)
Otsuka America Pharmaceutical Inc. · Montgomery, AL
Director
2026-05-06
View full posting on CareerOneStop → ID: b99d4c024e68
Associate Director, Medical Omnichannel Data Scientist (Remote)
Otsuka America Pharmaceutical Inc. · Nashville, TN
Director
2026-05-06
View full posting on CareerOneStop → ID: d364ceb9e6ce
Associate Director, Medical Omnichannel Data Scientist (Remote)
Otsuka America Pharmaceutical Inc. · Frankfort, KY
Director
2026-05-06
View full posting on CareerOneStop → ID: 63eae8031378
Director, Data Science
Walmart · Bentonville, AR
Director
2026-05-05
View full posting on CareerOneStop → ID: d6a808d3fd71
Sr. Director, Machine Learning Engineering (Remote-Eligible)
Capital One · Olympia, WA
Director Doctorate
2026-05-01
Requirements
  • Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing or leading AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing or leading AI and ML algorithms or technologies
  • At least 5 years of people leadership experience
Preferred
  • 7 years of experience managing and leading an engineering team
  • 8+ years of experience deploying scalable, responsible AI solutions on major cloud platforms (AWS, GCP, Azure)
  • Master's or PhD in Computer Science or a relevant technical fieldProven expertise designing, implementing, and scaling personalization platforms and recommendation systems across feed personalization, ads ranking, or targeted marketing messaging
  • Proficiency in Python, Java, C++, or Golang; hands-on experience with ML frameworks (PyTorch, TensorFlow) and orchestration tools (Databricks, Airflow, Kubeflow)
  • Experience optimizing large-scale training and inference systems for hardware utilization, latency, throughput, and cost
  • Deep expertise in cloud-native engineering, containerization (Docker, Kubernetes), and automated CI/CD deploymentDeep experience with MLOps, model observability, and production ML lifecycle management
  • Strong track record building organizations, developing managers and senior engineers, and leading through scale and ambiguityExcellent communication and presentation skills, with the ability to influence senior stakeholders and articulate complex AI concepts clearly
  • Proven leadership in driving platform strategy, cross-functional execution, and technical direction across a large organization
  • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers
  • *_Capital One will consider sponsoring a new qualified applicant for employment authorization for this position._
  • The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
  • Remote (Regardless of Location): $286,200 - $326,700 for Sr. Dir, Machine Learning Engineering
  • McLean, VA: $314,800 - $359,300 for Sr. Dir, Machine Learning Engineering
  • Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
  • This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
  • Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website (https://www.capitalonecareers.com/benefits) . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
  • This role is expected to accept applications for a minimum of 5 business days.
Responsibilities
  • Lead and scale a high-performing engineering organization responsible for the Personalization Platform that powers real-time, personalized product experiences and multi-channel targeted user messaging across Capital One products and services.
  • Define the technical strategy, delivery roadmap, and operating model for a portfolio spanning recommendation systems, ranking, decisioning, GenAI infrastructure, MLOps, and low-latency application-serving systems
  • Build, develop, and manage engineers and engineering leaders; set a high bar for hiring, performance, talent density, coaching, and succession planning across the organization
  • Partner cross-functionally with Product, Data Science, Cloud Infrastructure, and Machine Learning Platform teams to align strategy, prioritize investments, and co-develop advanced recommendation systems and algorithms serving Capital One users
  • Drive the design, buildout, and operation of robust ML infrastructure and pipelines supporting feature extraction, model training, testing, guardrails, evaluation, deployment, and both real-time and batch inference with strong reliability, scalability, and operational rigo
  • Architect low-latency, event-driven systems for real-time personalization and decisioning based on streaming data, user behavior, and contextual signals
  • Drive the evolution of MLOps practices through automated, metrics-backed deployment workflows, validation and testing systems, model lifecycle governance, and scalable observability
  • Guide the adoption of state-of-the-art AI and LLM optimization techniques to improve scalability, cost, latency, throughput, and reliability of large-scale production AI systems
  • Provide organizational technical and people leadership by influencing architecture, engineering standards, delivery excellence, incident management, and cross-team strategy while mentoring managers, tech leads, and senior engineers.
  • Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
  • Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI.
  • Capital One is open to hiring a Remote Employee for this opportunity.
View full posting on CareerOneStop → ID: 2898be3b6034
Sr. Director, Machine Learning Engineering (Remote-Eligible)
Capital One · Boise, ID
Director
2026-05-01
View full posting on CareerOneStop → ID: 69b130e60af6
Sr. Director, Machine Learning Engineering (Remote-Eligible)
Capital One · Salem, OR
Director
2026-05-01
View full posting on CareerOneStop → ID: 154859f272f8
Sr. Director, Machine Learning Engineering (Remote-Eligible)
Capital One · Helena, MT
Director
2026-05-01
View full posting on CareerOneStop → ID: ddba137b44ef
Sr. Director, Machine Learning Engineering (Remote-Eligible)
Capital One · Cheyenne, WY
Director
2026-05-01
View full posting on CareerOneStop → ID: d0518fc67e2d
Sr. Director, Machine Learning Engineering (Remote-Eligible)
Capital One · Salt Lake City, UT
Director
2026-05-01
View full posting on CareerOneStop → ID: 7c0652b74b5c
Sr. Director, Machine Learning Engineering (Remote-Eligible)
Capital One · Carson City, NV
Director
2026-05-01
View full posting on CareerOneStop → ID: c6e46367290e
Sr. Director, Machine Learning Engineering (Remote-Eligible)
Capital One · Bismarck, ND
Director
2026-05-01
View full posting on CareerOneStop → ID: d1351f6fc9b7
Sr. Director, Machine Learning Engineering (Remote-Eligible)
Capital One · Pierre, SD
Director
2026-05-01
View full posting on CareerOneStop → ID: ff0166387ae8
Sr. Director, Machine Learning Engineering (Remote-Eligible)
Capital One · Phoenix, AZ
Director
2026-05-01
View full posting on CareerOneStop → ID: 5fd260640d6c
Sr. Director, Machine Learning Engineering (Remote-Eligible)
Capital One · Santa Fe, NM
Director
2026-05-01
View full posting on CareerOneStop → ID: aa124454b00a
Sr. Director, Machine Learning Engineering (Remote-Eligible)
Capital One · Denver, CO
Director
2026-05-01
View full posting on CareerOneStop → ID: 4a0670dfe764
Sr. Director, Machine Learning Engineering (Remote-Eligible)
Capital One · Lincoln, NE
Director
2026-05-01
View full posting on CareerOneStop → ID: 650aa517546e
Sr. Director, Machine Learning Engineering (Remote-Eligible)
Capital One · Topeka, KS
Director
2026-05-01
View full posting on CareerOneStop → ID: b5b83c980efd
Sr. Director, Machine Learning Engineering (Remote-Eligible)
Capital One · Oklahoma City, OK
Director
2026-05-01
View full posting on CareerOneStop → ID: 598c796e4b76
Sr. Director, Machine Learning Engineering (Remote-Eligible)
Capital One · Saint Paul, MN
Director
2026-05-01
View full posting on CareerOneStop → ID: e096ba81d544
Sr. Director, Machine Learning Engineering (Remote-Eligible)
Capital One · Des Moines, IA
Director
2026-05-01
View full posting on CareerOneStop → ID: db445a5950ba
Sr. Director, Machine Learning Engineering (Remote-Eligible)
Capital One · Jefferson City, MO
Director
2026-05-01
View full posting on CareerOneStop → ID: 9b9a98e0917e
Sr. Director, Machine Learning Engineering (Remote-Eligible)
Capital One · Little Rock, AR
Director
2026-05-01
View full posting on CareerOneStop → ID: f242e3daf551
Sr. Director, Machine Learning Engineering (Remote-Eligible)
Capital One · Baton Rouge, LA
Director
2026-05-01
View full posting on CareerOneStop → ID: 9df1e7ffd4ec
Sr. Director, Machine Learning Engineering (Remote-Eligible)
Capital One · Madison, WI
Director
2026-05-01
View full posting on CareerOneStop → ID: 0ad75e10a87d
Sr. Director, Machine Learning Engineering (Remote-Eligible)
Capital One · Jackson, MS
Director
2026-05-01
View full posting on CareerOneStop → ID: 2dd19475c4bf
Sr. Director, Machine Learning Engineering (Remote-Eligible)
Capital One · Montgomery, AL
Director
2026-05-01
View full posting on CareerOneStop → ID: a5c718ded540
Sr. Director, Machine Learning Engineering (Remote-Eligible)
Capital One · Nashville, TN
Director
2026-05-01
View full posting on CareerOneStop → ID: 724de259bd90
Sr. Director, Machine Learning Engineering (Remote-Eligible)
Capital One · Frankfort, KY
Director
2026-05-01
View full posting on CareerOneStop → ID: b4a789f1936b
Senior Director, AI/ML Engineering - Remote
UnitedHealth Group · Seattle, WA
Director Doctorate
2026-04-27
Requirements
  • Master's degree in Machine Learning, Artificial Intelligence, Computer Science, or a related field
  • 15+ years of experience in AI/ML with demonstrable career progression from individual contributor to technical leadership roles
  • Hands-on experience with machine learning libraries and frameworks
  • Current and extensive hands-on experience with modern AI tools, frameworks, and methodologies
  • Experience with data analysis tools and techniques
  • Experience implementing machine learning fairness and bias mitigation techniques
  • Public cloud experience (Azure, and/or GCP, and/or AWS)
  • Comprehensive knowledge of statistical methods, machine learning algorithms, and AI principles
  • Proven track record of hands-on development and implementation of enterprise-scale AI SaaS solutions with measurable business impact
  • Demonstrated ability to balance strategic leadership with hands-on technical contribution
  • Demonstrated solid and current programming skills in Python or other relevant programming languages
  • Proven ability to build and scale AI infrastructure and operations
Preferred
  • PhD or Master's degree in Machine Learning, Artificial Intelligence, Computer Science, or a related field
  • Active practitioner with current, deep technical expertise in AI technologies and applications; Natural Language Processing (NLP) and/or Large Language Models (LLM)
  • Healthcare experience and FinTech solutions
  • Proven exceptional leadership, communication, and executive presence skills
  • All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
  • Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $159,300 to $273,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.
  • *Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
  • _At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
Responsibilities
  • Develop and execute org-wide AI strategy and roadmap aligned with business objectives and growth initiatives
  • Maintain hands-on involvement in key AI projects, actively contributing to code, model development, and technical solutions
  • Drive innovation through research and adoption of cutting-edge AI technologies and methodologies
  • Establish AI governance frameworks, ethical guidelines, and best practices across the organization
  • Personally design, develop, and implement AI and machine learning models using statistical analysis and deep learning algorithms
  • Collaborate with cross-functional leadership to translate business needs into AI strategy
  • Collaborate with team leads in the deployment and maintenance of AI models in production environments, ensuring scalability, reliability, and cost-effectiveness
  • Spearhead integration of AI solutions with existing systems and applications
  • Establish KPIs and performance metrics for AI solutions and drive continuous improvement
  • Present AI vision, roadmaps, and results to executive leadership and board members
  • Lead research initiatives and partnerships to maintain competitive advantage in AI capabilities
  • Mentor, develop, and retain top AI talent while building a culture of innovation
  • You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
View full posting on CareerOneStop → ID: 8be85cfaac66
Director, Data Science - Earnings Innovation & Automation
Walmart · Bentonville, AR
Director
2026-04-16
View full posting on CareerOneStop → ID: 2f0ec7e09ab8
AI & GenAI Data Scientist - EUR- Director
PwC · Portland, OR
Director
2026-04-01
View full posting on CareerOneStop → ID: 01299590eb13
AI & GenAI Data Scientist - EUR- Director
PwC · Las Vegas, NV
Director
2026-04-01
View full posting on CareerOneStop → ID: 6f39f7b7837a
AI & GenAI Data Scientist - EUR- Director
PwC · Tulsa, OK
Director
2026-04-01
View full posting on CareerOneStop → ID: 2a8c1beb2e78
AI & GenAI Data Scientist - EUR- Director
PwC · Oklahoma City, OK
Director
2026-04-01
View full posting on CareerOneStop → ID: e82f6c5c0a0c
AI & GenAI Data Scientist - EUR- Director
PwC · Fayetteville, AR
Director
2026-04-01
View full posting on CareerOneStop → ID: a3a1c01dda02
AI & GenAI Data Scientist - EUR- Director
PwC · Little Rock, AR
Director
2026-04-01
View full posting on CareerOneStop → ID: 7936e8e040ac
AI & GenAI Data Scientist - EUR- Director
PwC · New Orleans, LA
Director
2026-04-01
View full posting on CareerOneStop → ID: b09dd0aa2e46
Senior Director, Data Science - CVP Strategy & Enablement
Walmart · Bentonville, AR
Director
2026-03-31
View full posting on CareerOneStop → ID: 62f7a98e8763
Senior Director, Data Science
Visa Usa Inc · Bellevue, WA
Director
2026-03-05
View full posting on CareerOneStop → ID: 909eb7c9fb41
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