Job Matches
Washington job postings for occupations your coursework prepares you for. Sorted by how many of the occupation's tasks your courses cover.
Showing CareerOneStop postings from the last 30 days; the scraper re-syncs from CareerOneStop nightly. Last posting in this list dated 2026-06-05.
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Mathematics Instructor - Adjunct - Spokane Community College Spokane Colleges Location: Spokane CC Main Campus Spokane Department: SCC Mathematics Open continuous. Starting salary for this position is: $42.05 - $89.48 per hour based on workload category. This is
- Master's degree in Mathematics or Statistics or in a closely related field with graduate level Math coursework.
- Commitment to fostering and supporting student success.
- Understanding and acceptance of the mission, values, goals and objectives of SCC.
- []{style="font-family: Arial, Helvetica, sans
- Prepare for and instruct classes in Mathematics. Class modality may be in person, hybrid, or online.
- Provide availability to students through a combination of office hours, e-mail and other effective means of responsive and timely communication.
- Communicate expectations and establish clear grading criteria, to include but not limited to developing course syllabi, handouts, and materials supporting the instructional process.
- Evaluate student progress and provide clear, timely feedback.
- Mentor others on mathematical techniques.
- Maintain knowledge in the field by reading professional journals, talking with other mathematicians, and attending professional conferences.
- Develop new principles and new relationships between existing mathematical principles to advance mathematical science.
-
Disseminate research by writing reports, publishing papers, or presenting at professional conferences.
via MATH 491
- Assemble sets of assumptions, and explore the consequences of each set.
Job Description The College of Arts & Sciences has an outstanding opportunity for an HR Manager to join their team. Reporting to the Director of Personnel Services, the HR Manager delivers end-to-end HR support through close collaboration with academic leadership, finance partners, and s
- To be considered for this opportunity your application must demonstrate you meet both the minimum qualifications and additional qualifications listed below. Equivalent education and/or experience may … To be considered for this opportunity your application must demonstrate you meet both the minimum qualifications and additional qualifications listed below. Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.
- Bachelor's degree
- Minimum of four years of experience in human resources
- Applicants who do not meet these qualifications WILL NOT be forwarded to the Hiring Department.
- *The College of Arts & Sciences has an outstanding opportunity for an HR Manager to join their team.
- Reporting to the Director of Personnel Services, the HR Manager delivers end-to-end HR support through close collaboration with academic leadership, finance partners, and shared service teams. As an H… Reporting to the Director of Personnel Services, the HR Manager delivers end-to-end HR support through close collaboration with academic leadership, finance partners, and shared service teams. As an HR Manager in the College Business Office, you will provide comprehensive human resources support to the Mathematical Sciences cohort, contributing across staff, student, and academic HR functions. This role will support HR functions for the departments of Applied Mathematics, Mathematics, and Statistics and will serve as a key HR resource, ensuring personnel actions are accurate, timely, and aligned with university policies.
- This is an excellent opportunity for an HR professional who enjoys variety, partnership, and applying HR expertise across multiple employee groups in a complex academic environment.
- This role is located on the Seattle campus and operates on a Monday through Friday, 8:00 AM to 5:00 PM schedule. While primarily onsite, the position may offer up to two remote workdays per week.
- Experience synthesizing diverse data sources to reach personnel and policy/procedural recommendations. Ability to communicate complex ideas to audiences that are not HR experts
- Problem solving skills
- Curiosity and imagination
- Able to deal with ambiguity
- Mentor others on mathematical techniques.
- Maintain knowledge in the field by reading professional journals, talking with other mathematicians, and attending professional conferences.
- Develop new principles and new relationships between existing mathematical principles to advance mathematical science.
-
Disseminate research by writing reports, publishing papers, or presenting at professional conferences.
via MATH 491
- Assemble sets of assumptions, and explore the consequences of each set.
Job Description The College of Arts & Sciences has an outstanding opportunity for a Finance Analyst to join their team. Reporting to the Director of Planning and Budgeting, the Finance Analyst will directly impact the success of our Mathematical Sciences units while developing expertise
- To be considered for this opportunity your application must demonstrate you meet both the minimum qualifications and additional qualifications listed below. Equivalent education and/or experience may … To be considered for this opportunity your application must demonstrate you meet both the minimum qualifications and additional qualifications listed below. Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.
- Bachelor's Degree in Finance, Economics or related field
- Minimum of four years of experience in finance, accounting and yearly financial planning
- Applicants who do not meet these qualifications WILL NOT be forwarded to the Hiring Department.
- *The College of Arts & Sciences has an outstanding opportunity for a Finance Analyst to join their team.
- Reporting to the Director of Planning and Budgeting, the Finance Analyst will directly impact the success of our Mathematical Sciences units while developing expertise in cutting-edge financial system… Reporting to the Director of Planning and Budgeting, the Finance Analyst will directly impact the success of our Mathematical Sciences units while developing expertise in cutting-edge financial systems like Workday, Adaptive Planning, and Financial Cubes. In this role, you will:
- Transforming complex financial data into actionable insights for department leaders
- Partnering with HR Managers to ensure seamless payroll operations
- Advanced excel skills including pivot table, V-Lookup
- Experience with data cubes
- Demonstrated attention to detail
- Demonstrate ability to communicate complex ideas to audiences that are not finance experts
- Mentor others on mathematical techniques.
- Maintain knowledge in the field by reading professional journals, talking with other mathematicians, and attending professional conferences.
- Develop new principles and new relationships between existing mathematical principles to advance mathematical science.
-
Disseminate research by writing reports, publishing papers, or presenting at professional conferences.
via MATH 491
- Assemble sets of assumptions, and explore the consequences of each set.
Assistant Professor in the Mathematics of AI Requisition ID: 2025-9612 # of Openings: 1 Location: US-UT-Logan Category: Faculty Position Type: Benefited Full-Time Job Classification: Faculty College: College of Arts and Sciences Department: Mathematics and Statistics Advertised Sal
- Research: Develop an independent and externally funded research program at the interface of mathematics and AI.
- Teaching: Deliver undergraduate core mathematics courses (1000-3000 levels), courses within the interdisciplinary/applied mathematics graduate core (see USU General Catalog at https://catalog.usu.edu/… Teaching: Deliver undergraduate core mathematics courses (1000-3000 levels), courses within the interdisciplinary/applied mathematics graduate core (see USU General Catalog at https://catalog.usu.edu/ and search courses with prefix MATH, numbered 5000+), and develop advanced courses in AI, machine learning, computational mathematics, and data science.
- Mentorship: supervise graduate students (PhD and MS, including the Industrial Math MS) and undergraduate students in programs including AI/data science and computational math.
- Collaboration: establish and maintain synergies across campus (e.g. computing, engineering, life sciences, natural resources, social sciences) and contribute... For full info follow application link.
- Mentor others on mathematical techniques.
- Maintain knowledge in the field by reading professional journals, talking with other mathematicians, and attending professional conferences.
- Develop new principles and new relationships between existing mathematical principles to advance mathematical science.
-
Disseminate research by writing reports, publishing papers, or presenting at professional conferences.
via MATH 491
- Assemble sets of assumptions, and explore the consequences of each set.
At a Glance! Lower Columbia College is seeking a dynamic, energetic, and creative adjunct instructor to teach courses in math. Coursework may include Precalculus, Trigonometry, Statistics, and/or developmental math support courses. This position will be responsible for teaching courses in mathem
- The successful candidate will have the following responsibilities:
- Provide quality instruction in the classroom and online, adapting to a variety of teaching/learning situations, and maintaining up to date content.
- Teach and supervise group learning experiences, being responsible for maintaining a supportive learning environment.
- Effectively use computer applications/technology for instruction and communication as appropriate
- Mentor others on mathematical techniques.
- Maintain knowledge in the field by reading professional journals, talking with other mathematicians, and attending professional conferences.
- Develop new principles and new relationships between existing mathematical principles to advance mathematical science.
-
Disseminate research by writing reports, publishing papers, or presenting at professional conferences.
via MATH 491
- Assemble sets of assumptions, and explore the consequences of each set.
Idaho Department of Education This position is exempt from classified state service and the rules of the Division of Human Resources and the Idaho Personnel Commission. Please note: Applications will be accepted through 11:59 PM MST on the posting end date. The Idaho Department of Education
- · Undergraduate degree from an accredited college or university with an emphasis in the related area of education.
- · Idaho Teaching Certificate in Elementary Education or Secondary Mathematics endorsement.
- · Five or more years of experience in K-12 education, including teaching or leadership roles.
- · Strong understanding of K-12 content, pedagogy, and instructional best practices.
- · Serve as the state lead and subject matter expert for mathematics, with support for gifted and talented education.
- · Lead and support the development, review, revision, and implementation of Idaho Content Standards in these content areas.
- · Provide guidance, technical assistance, and support to school districts and public charter schools in curriculum, instruction, assessment, intervention, and program implementation.
- · Oversee and lead the design, coordination, and delivery of professional development to strengthen educator knowledge and instructional practice.
- · Teaching experience in mathematics.
- · Graduate-level coursework or degree in the field of education.
- · Additional endorsement in gifted and talented education.
- · Experience teaching or supporting Gifted and Talented Education.
- Mentor others on mathematical techniques.
- Maintain knowledge in the field by reading professional journals, talking with other mathematicians, and attending professional conferences.
- Develop new principles and new relationships between existing mathematical principles to advance mathematical science.
-
Disseminate research by writing reports, publishing papers, or presenting at professional conferences.
via MATH 491
- Assemble sets of assumptions, and explore the consequences of each set.
- Mentor others on mathematical techniques.
- Maintain knowledge in the field by reading professional journals, talking with other mathematicians, and attending professional conferences.
- Develop new principles and new relationships between existing mathematical principles to advance mathematical science.
-
Disseminate research by writing reports, publishing papers, or presenting at professional conferences.
via MATH 491
- Assemble sets of assumptions, and explore the consequences of each set.
Walla Walla Community College is accepting applications for a part-time Applied Mathematics AdjunctInstructor to be part of a pool of professionals we can reach out to for teaching vocational Mathematics courses. Walla Walla Community College (WWCC) seeks to develop applicant pools for adj
- Mentor others on mathematical techniques.
- Maintain knowledge in the field by reading professional journals, talking with other mathematicians, and attending professional conferences.
- Develop new principles and new relationships between existing mathematical principles to advance mathematical science.
-
Disseminate research by writing reports, publishing papers, or presenting at professional conferences.
via MATH 491
- Assemble sets of assumptions, and explore the consequences of each set.
Summary: We are seeking an applied research scientist and research engineer with a background in computational mathematics and physics simulation to join our team within Meta's Reality Lab Research. As a member of our research group, you will play a crucial role in developing a large-scale s
- Applied Research Scientist, Computational Mathematics, Physics, & Controls Responsibilities:
- Lead complex software system integration and development
- Implement state-of-the-art algorithms for numerical linear algebra, PDEs, optimization/dynamic programming/RL
- Collaborate with cross-functional teams to identify and prioritize project requirements
- We are seeking an applied research scientist and research engineer with a background in computational mathematics and physics simulation to join our team within Meta's Reality Lab Research. As a membe… We are seeking an applied research scientist and research engineer with a background in computational mathematics and physics simulation to join our team within Meta's Reality Lab Research. As a member of our research group, you will play a crucial role in developing a large-scale software library for physics simulations that will drive innovation in robotics and embodied AI applications.You will leverage their expertise in software engineering, computational mathematics, and physics simulations to design, develop, and optimize simulation tools that will enable the development of controls for embodied agents in the physical world. You will work closely with a team of researchers and engineers to develop state-of-the-art simulators and is expected to operate across low-level high-performance software development as well as high-level architectural design.
- Experience with state-of-the-art simulation libraries
- Experience with controls theory and training embodied agents in physical interactions
- Experience with differentiable physics/PDE constrained optimization
- Experience with dimensionality reduction and reduced order modeling
- Mentor others on mathematical techniques.
- Maintain knowledge in the field by reading professional journals, talking with other mathematicians, and attending professional conferences.
- Develop new principles and new relationships between existing mathematical principles to advance mathematical science.
-
Disseminate research by writing reports, publishing papers, or presenting at professional conferences.
via MATH 491
- Assemble sets of assumptions, and explore the consequences of each set.
- Mentor others on mathematical techniques.
- Maintain knowledge in the field by reading professional journals, talking with other mathematicians, and attending professional conferences.
- Develop new principles and new relationships between existing mathematical principles to advance mathematical science.
-
Disseminate research by writing reports, publishing papers, or presenting at professional conferences.
via MATH 491
- Assemble sets of assumptions, and explore the consequences of each set.
- Mentor others on mathematical techniques.
- Maintain knowledge in the field by reading professional journals, talking with other mathematicians, and attending professional conferences.
- Develop new principles and new relationships between existing mathematical principles to advance mathematical science.
-
Disseminate research by writing reports, publishing papers, or presenting at professional conferences.
via MATH 491
- Assemble sets of assumptions, and explore the consequences of each set.
- Mentor others on mathematical techniques.
- Maintain knowledge in the field by reading professional journals, talking with other mathematicians, and attending professional conferences.
- Develop new principles and new relationships between existing mathematical principles to advance mathematical science.
-
Disseminate research by writing reports, publishing papers, or presenting at professional conferences.
via MATH 491
- Assemble sets of assumptions, and explore the consequences of each set.
- Mentor others on mathematical techniques.
- Maintain knowledge in the field by reading professional journals, talking with other mathematicians, and attending professional conferences.
- Develop new principles and new relationships between existing mathematical principles to advance mathematical science.
-
Disseminate research by writing reports, publishing papers, or presenting at professional conferences.
via MATH 491
- Assemble sets of assumptions, and explore the consequences of each set.
- Mentor others on mathematical techniques.
- Maintain knowledge in the field by reading professional journals, talking with other mathematicians, and attending professional conferences.
- Develop new principles and new relationships between existing mathematical principles to advance mathematical science.
-
Disseminate research by writing reports, publishing papers, or presenting at professional conferences.
via MATH 491
- Assemble sets of assumptions, and explore the consequences of each set.
- Mentor others on mathematical techniques.
- Maintain knowledge in the field by reading professional journals, talking with other mathematicians, and attending professional conferences.
- Develop new principles and new relationships between existing mathematical principles to advance mathematical science.
-
Disseminate research by writing reports, publishing papers, or presenting at professional conferences.
via MATH 491
- Assemble sets of assumptions, and explore the consequences of each set.
- Mentor others on mathematical techniques.
- Maintain knowledge in the field by reading professional journals, talking with other mathematicians, and attending professional conferences.
- Develop new principles and new relationships between existing mathematical principles to advance mathematical science.
-
Disseminate research by writing reports, publishing papers, or presenting at professional conferences.
via MATH 491
- Assemble sets of assumptions, and explore the consequences of each set.
- Mentor others on mathematical techniques.
- Maintain knowledge in the field by reading professional journals, talking with other mathematicians, and attending professional conferences.
- Develop new principles and new relationships between existing mathematical principles to advance mathematical science.
-
Disseminate research by writing reports, publishing papers, or presenting at professional conferences.
via MATH 491
- Assemble sets of assumptions, and explore the consequences of each set.
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
These could be filled by an applied project, elective, or internship — see the program page for examples.
Job Summary The Senior Director, Biostatistics, provides leadership, oversight, and technical/scientific direction across multiple therapeutic areas. This role leads and develops a high-performing biostatistics team that delivers both strong scientific engagement and operational excellence thr
- PhD in Statistics or Biostatistics with 12+ years of progressive experience in the pharmaceutical or biotechnology industry, including extensive involvement in clinical research and late-stage development programs
- Minimum of 5 years of demonstrated people leadership experience, including responsibility for hiring, developing, mentoring, and performance management of biostatistics professionals
- Deep and end-to-end understanding of the clinical development process, from study design and development planning through regulatory submission (e.g., NDA/BLA) and post-submission activities
- Strong working knowledge of global regulatory and industry best practices, including protocol and SAP development, statistical interpretation, and health authority expectations
- The Senior Director, Biostatistics, provides leadership, oversight, and technical/scientific direction across multiple therapeutic areas. This role leads and develops a high-performing biostatistics t… The Senior Director, Biostatistics, provides leadership, oversight, and technical/scientific direction across multiple therapeutic areas. This role leads and develops a high-performing biostatistics team that delivers both strong scientific engagement and operational excellence throughout the clinical development lifecycle. Core responsibilities include trial design and development planning, statistical analysis strategy, modeling and simulation, regulatory submission support, advisory committee preparation, and scientific presentations.
- The Senior Director, Biostatistics plans, directs, and oversees the design, preparation, and execution of the biostatistical strategy supporting research and development, ensuring the appropriate appl… The Senior Director, Biostatistics plans, directs, and oversees the design, preparation, and execution of the biostatistical strategy supporting research and development, ensuring the appropriate application of sound statistical theory and methodologies across designated therapeutic areas. In support of Clinical Development strategy, this role provides scientific review and oversight of key development materials, including but not limited to clinical protocols, statistical analysis plans, health authority submission documents, and publication materials. External scientific engagement is a core accountability of the role, including leadership of and participation in health authority interactions.
- Operational excellence is demonstrated through the effective and efficient delivery of the Clinical Development portfolio, including resource planning, prioritization, timeline management, and functional outsourcing.
- The Senior Director serves as a senior statistical subject-matter expert and knowledge resource to cross-functional project teams and acts as a point of escalation and resolution for biostatistical is… The Senior Director serves as a senior statistical subject-matter expert and knowledge resource to cross-functional project teams and acts as a point of escalation and resolution for biostatistical issues across relevant therapeutic areas.
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
These could be filled by an applied project, elective, or internship — see the program page for examples.
Job Summary The Senior Director, Biostatistics, provides leadership, oversight, and technical/scientific direction across multiple therapeutic areas. This role leads and develops a high-performing biostatistics team that delivers both strong scientific engagement and operational excellence thr
- PhD in Statistics or Biostatistics with 12+ years of progressive experience in the pharmaceutical or biotechnology industry, including extensive involvement in clinical research and late-stage development programs
- Minimum of 5 years of demonstrated people leadership experience, including responsibility for hiring, developing, mentoring, and performance management of biostatistics professionals
- Deep and end-to-end understanding of the clinical development process, from study design and development planning through regulatory submission (e.g., NDA/BLA) and post-submission activities
- Strong working knowledge of global regulatory and industry best practices, including protocol and SAP development, statistical interpretation, and health authority expectations
- The Senior Director, Biostatistics, provides leadership, oversight, and technical/scientific direction across multiple therapeutic areas. This role leads and develops a high-performing biostatistics t… The Senior Director, Biostatistics, provides leadership, oversight, and technical/scientific direction across multiple therapeutic areas. This role leads and develops a high-performing biostatistics team that delivers both strong scientific engagement and operational excellence throughout the clinical development lifecycle. Core responsibilities include trial design and development planning, statistical analysis strategy, modeling and simulation, regulatory submission support, advisory committee preparation, and scientific presentations.
- The Senior Director, Biostatistics plans, directs, and oversees the design, preparation, and execution of the biostatistical strategy supporting research and development, ensuring the appropriate appl… The Senior Director, Biostatistics plans, directs, and oversees the design, preparation, and execution of the biostatistical strategy supporting research and development, ensuring the appropriate application of sound statistical theory and methodologies across designated therapeutic areas. In support of Clinical Development strategy, this role provides scientific review and oversight of key development materials, including but not limited to clinical protocols, statistical analysis plans, health authority submission documents, and publication materials. External scientific engagement is a core accountability of the role, including leadership of and participation in health authority interactions.
- Operational excellence is demonstrated through the effective and efficient delivery of the Clinical Development portfolio, including resource planning, prioritization, timeline management, and functional outsourcing.
- The Senior Director serves as a senior statistical subject-matter expert and knowledge resource to cross-functional project teams and acts as a point of escalation and resolution for biostatistical is… The Senior Director serves as a senior statistical subject-matter expert and knowledge resource to cross-functional project teams and acts as a point of escalation and resolution for biostatistical issues across relevant therapeutic areas.
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
These could be filled by an applied project, elective, or internship — see the program page for examples.
Job Summary The Senior Director, Biostatistics, provides leadership, oversight, and technical/scientific direction across multiple therapeutic areas. This role leads and develops a high-performing biostatistics team that delivers both strong scientific engagement and operational excellence thr
- PhD in Statistics or Biostatistics with 12+ years of progressive experience in the pharmaceutical or biotechnology industry, including extensive involvement in clinical research and late-stage development programs
- Minimum of 5 years of demonstrated people leadership experience, including responsibility for hiring, developing, mentoring, and performance management of biostatistics professionals
- Deep and end-to-end understanding of the clinical development process, from study design and development planning through regulatory submission (e.g., NDA/BLA) and post-submission activities
- Strong working knowledge of global regulatory and industry best practices, including protocol and SAP development, statistical interpretation, and health authority expectations
- The Senior Director, Biostatistics, provides leadership, oversight, and technical/scientific direction across multiple therapeutic areas. This role leads and develops a high-performing biostatistics t… The Senior Director, Biostatistics, provides leadership, oversight, and technical/scientific direction across multiple therapeutic areas. This role leads and develops a high-performing biostatistics team that delivers both strong scientific engagement and operational excellence throughout the clinical development lifecycle. Core responsibilities include trial design and development planning, statistical analysis strategy, modeling and simulation, regulatory submission support, advisory committee preparation, and scientific presentations.
- The Senior Director, Biostatistics plans, directs, and oversees the design, preparation, and execution of the biostatistical strategy supporting research and development, ensuring the appropriate appl… The Senior Director, Biostatistics plans, directs, and oversees the design, preparation, and execution of the biostatistical strategy supporting research and development, ensuring the appropriate application of sound statistical theory and methodologies across designated therapeutic areas. In support of Clinical Development strategy, this role provides scientific review and oversight of key development materials, including but not limited to clinical protocols, statistical analysis plans, health authority submission documents, and publication materials. External scientific engagement is a core accountability of the role, including leadership of and participation in health authority interactions.
- Operational excellence is demonstrated through the effective and efficient delivery of the Clinical Development portfolio, including resource planning, prioritization, timeline management, and functional outsourcing.
- The Senior Director serves as a senior statistical subject-matter expert and knowledge resource to cross-functional project teams and acts as a point of escalation and resolution for biostatistical is… The Senior Director serves as a senior statistical subject-matter expert and knowledge resource to cross-functional project teams and acts as a point of escalation and resolution for biostatistical issues across relevant therapeutic areas.
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
These could be filled by an applied project, elective, or internship — see the program page for examples.
Biostatistician, HEOR Consulting Services Company: Norstella Location: Remote, United States Date Posted: May 20, 2026 Employment Type: Full Time Job ID: R-1976 Description About Norstella Norstella is a premier and critical global life sciences data and AI solutions platfor
- Advanced degree (MS or PhD) in Biostatistics, Statistics, or a related quantitative field.
- At least 3 years of professional experience as a biostatistician/statistician using real-world data or clinical trial data in the pharmaceutical, biopharmaceutical, medical device, or CRO/consulting environment.
- Strong proficiency in statistical programming using R (technical proficiency will be tested). Additional proficiency in SQL or Python is valued.
- Ability and willingness to train and work within the Panalgo IHD analytics platform.
- Norstella's HEOR Services team is seeking an experienced biostatistician to develop statistical analysis plans and perform advanced statistical analysis on non-interventional observational research st… Norstella's HEOR Services team is seeking an experienced biostatistician to develop statistical analysis plans and perform advanced statistical analysis on non-interventional observational research studies using real world data. This role will advise internal and external clients on recommended statistical approaches to support study research objectives, and will be directly responsible for documentation, implementation, and interpretation of statistical analysis plans. The ideal candidate brings deep expertise with realworld data, strong R programming skills, and a track record of applying advanced statistical methods to support regulatory, epidemiology, HEOR, and RWE use cases.
- Support senior HEOR leaders with non-interventional observational research study design, advanced statistical analysis, and interpretation using NorstellaLinQ Realworld Data to support regulatory, epi… Support senior HEOR leaders with non-interventional observational research study design, advanced statistical analysis, and interpretation using NorstellaLinQ Realworld Data to support regulatory, epidemiology, HEOR, and RWE use cases.
- During study design phase, recommend appropriate statistical methods to address study research objectives (e.g., power calculations, methods to mitigate selection bias, development of matched cohorts,… During study design phase, recommend appropriate statistical methods to address study research objectives (e.g., power calculations, methods to mitigate selection bias, development of matched cohorts, development of measures from multiple sources [e.g., EMR + claims], analysis of NLP-derived measures from unstructured EMR, approach for outcomes that require time-to-event analysis with competing risk, multivariable modeling, repeated measures, time-averaged clinical measures, causal inference, and techniques for analyzing rare and ultra rare populations including Bayesian statistics).
- Write statistical analysis plans to address the above considerations.
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
These could be filled by an applied project, elective, or internship — see the program page for examples.
Biostatistician, HEOR Consulting Services Company: Norstella Location: Remote, United States Date Posted: May 20, 2026 Employment Type: Full Time Job ID: R-1976 Description About Norstella Norstella is a premier and critical global life sciences data and AI solutions platfor
- Advanced degree (MS or PhD) in Biostatistics, Statistics, or a related quantitative field.
- At least 3 years of professional experience as a biostatistician/statistician using real-world data or clinical trial data in the pharmaceutical, biopharmaceutical, medical device, or CRO/consulting environment.
- Strong proficiency in statistical programming using R (technical proficiency will be tested). Additional proficiency in SQL or Python is valued.
- Ability and willingness to train and work within the Panalgo IHD analytics platform.
- Norstella's HEOR Services team is seeking an experienced biostatistician to develop statistical analysis plans and perform advanced statistical analysis on non-interventional observational research st… Norstella's HEOR Services team is seeking an experienced biostatistician to develop statistical analysis plans and perform advanced statistical analysis on non-interventional observational research studies using real world data. This role will advise internal and external clients on recommended statistical approaches to support study research objectives, and will be directly responsible for documentation, implementation, and interpretation of statistical analysis plans. The ideal candidate brings deep expertise with realworld data, strong R programming skills, and a track record of applying advanced statistical methods to support regulatory, epidemiology, HEOR, and RWE use cases.
- Support senior HEOR leaders with non-interventional observational research study design, advanced statistical analysis, and interpretation using NorstellaLinQ Realworld Data to support regulatory, epi… Support senior HEOR leaders with non-interventional observational research study design, advanced statistical analysis, and interpretation using NorstellaLinQ Realworld Data to support regulatory, epidemiology, HEOR, and RWE use cases.
- During study design phase, recommend appropriate statistical methods to address study research objectives (e.g., power calculations, methods to mitigate selection bias, development of matched cohorts,… During study design phase, recommend appropriate statistical methods to address study research objectives (e.g., power calculations, methods to mitigate selection bias, development of matched cohorts, development of measures from multiple sources [e.g., EMR + claims], analysis of NLP-derived measures from unstructured EMR, approach for outcomes that require time-to-event analysis with competing risk, multivariable modeling, repeated measures, time-averaged clinical measures, causal inference, and techniques for analyzing rare and ultra rare populations including Bayesian statistics).
- Write statistical analysis plans to address the above considerations.
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
These could be filled by an applied project, elective, or internship — see the program page for examples.
Biostatistician, HEOR Consulting Services Company: Norstella Location: Remote, United States Date Posted: May 20, 2026 Employment Type: Full Time Job ID: R-1976 Description About Norstella Norstella is a premier and critical global life sciences data and AI solutions platfor
- Advanced degree (MS or PhD) in Biostatistics, Statistics, or a related quantitative field.
- At least 3 years of professional experience as a biostatistician/statistician using real-world data or clinical trial data in the pharmaceutical, biopharmaceutical, medical device, or CRO/consulting environment.
- Strong proficiency in statistical programming using R (technical proficiency will be tested). Additional proficiency in SQL or Python is valued.
- Ability and willingness to train and work within the Panalgo IHD analytics platform.
- Norstella's HEOR Services team is seeking an experienced biostatistician to develop statistical analysis plans and perform advanced statistical analysis on non-interventional observational research st… Norstella's HEOR Services team is seeking an experienced biostatistician to develop statistical analysis plans and perform advanced statistical analysis on non-interventional observational research studies using real world data. This role will advise internal and external clients on recommended statistical approaches to support study research objectives, and will be directly responsible for documentation, implementation, and interpretation of statistical analysis plans. The ideal candidate brings deep expertise with realworld data, strong R programming skills, and a track record of applying advanced statistical methods to support regulatory, epidemiology, HEOR, and RWE use cases.
- Support senior HEOR leaders with non-interventional observational research study design, advanced statistical analysis, and interpretation using NorstellaLinQ Realworld Data to support regulatory, epi… Support senior HEOR leaders with non-interventional observational research study design, advanced statistical analysis, and interpretation using NorstellaLinQ Realworld Data to support regulatory, epidemiology, HEOR, and RWE use cases.
- During study design phase, recommend appropriate statistical methods to address study research objectives (e.g., power calculations, methods to mitigate selection bias, development of matched cohorts,… During study design phase, recommend appropriate statistical methods to address study research objectives (e.g., power calculations, methods to mitigate selection bias, development of matched cohorts, development of measures from multiple sources [e.g., EMR + claims], analysis of NLP-derived measures from unstructured EMR, approach for outcomes that require time-to-event analysis with competing risk, multivariable modeling, repeated measures, time-averaged clinical measures, causal inference, and techniques for analyzing rare and ultra rare populations including Bayesian statistics).
- Write statistical analysis plans to address the above considerations.
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
These could be filled by an applied project, elective, or internship — see the program page for examples.
Zumiez, Inc. seeks a Statistician -- Retail Analytics in Lynnwood, WA. POSITION DUTIES: The Statistician - Retail Analytics position will leverage statistical methods and data modeling techniques to uncover insights that help drive strategic decisions across merchandising, marketing, supply ch
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
These could be filled by an applied project, elective, or internship — see the program page for examples.
Role Number: 200666539-3337 Summary Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build or service we create, what we deliver is the result of us making each other's ideas stronger. It's the diversity of ou
- Strong machine learning fundamentals
- Knowledge of ML techniques such as implementing basic optimizers, applying parameter tuning in model training and evaluation, and reproducing research experiments
- Strong programming and communication skills
- Ph. D. in CS/EE/Physics/Statistics/etc. (or Masters with 4 years of proven experience)
- Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build or service we create, what we deliver is the result of us making ea… Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build or service we create, what we deliver is the result of us making each other's ideas stronger. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. Text generation is a key enabler for accelerated text input and intelligent interaction on Apple platforms.
- Our team is working on redefining user interaction with generative models for text generation. If you want to be part of an ambitious, organized and collaborative team that ships user experiences with… Our team is working on redefining user interaction with generative models for text generation. If you want to be part of an ambitious, organized and collaborative team that ships user experiences with pioneering ML, partnered with the best UI designs, come join the Input Experience NLP team. Our work has been highlighted in multiple WWDC keynotes including Intelligent Input in 2023, Writing Tools and Smart Reply in 2024!
- We exemplify Apple's outstanding integration of hardware and software to create seamless input experiences. You will have the opportunity to go from building offline pioneering NLP models to optimizat… We exemplify Apple's outstanding integration of hardware and software to create seamless input experiences. You will have the opportunity to go from building offline pioneering NLP models to optimization of the models for different hardware backends and user interfaces that make the experience magical. Our vision always includes a deep dedication to strengthening Apple's privacy policy by achieving all of the above on device with powerful Machine Learning.
- As a key pillar of Apple Intelligence, input experience will be the main area where you bring impact to billions of users with your Machine Learning expertise, engineering passion, and programming ski… As a key pillar of Apple Intelligence, input experience will be the main area where you bring impact to billions of users with your Machine Learning expertise, engineering passion, and programming skills. You will work with a hard-working and dedicated set of outstanding ML and software engineers on a wide range of most advanced text generation technologies such as context-augmented text rewriting, safety-controlled text composition, free-form text transformation, personalized smart interactions, etc.
- Familiar with model compression algorithms including quantization, pruning, distillations, and experience optimizing large diffusion models or language models
- Experience with hardware architecture, software & hardware co-design
- Experience with deploying large ML models in real world products
- Actively programming with high-quality codes across complex and large repositories
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
These could be filled by an applied project, elective, or internship — see the program page for examples.
Weekly Hours: 40 Role Number: 200666805-3337 Summary Visual Intelligence is a new feature that enables users to learn about the objects and places around them. We are a new and growing team building the future of user experiences at the intersection of computer vision, machine le
- 0-10 years of professional experience writing software
- Experience working on any of the following: computer vision, real-time perception, digital signal processing, camera/sensor pipelines, sensor fusion, ISPs, robotics, or related technologies at the int… Experience working on any of the following: computer vision, real-time perception, digital signal processing, camera/sensor pipelines, sensor fusion, ISPs, robotics, or related technologies at the intersection of sensor hardware, software, and machine learning
- Visual Intelligence is a new feature that enables users to learn about the objects and places around them. We are a new and growing team building the future of user experiences at the intersection of … Visual Intelligence is a new feature that enables users to learn about the objects and places around them. We are a new and growing team building the future of user experiences at the intersection of computer vision, machine learning and Apple intelligence. This is an exciting time to join and have impact at the core of Apple's future roadmap for Apple Intelligence. We are especially looking for people who love to collaborate across disciplines and teams, and are motivated and inspired by the potential to help shape the future of system experiences across the entire Apple ecosystem.
- We are looking for a software engineer to work on building the next generation of features for Visual Intelligence, including CV/ML, sensor fusion, simulation/evaluation pipelines, APIs, and core back… We are looking for a software engineer to work on building the next generation of features for Visual Intelligence, including CV/ML, sensor fusion, simulation/evaluation pipelines, APIs, and core backend software components. Our work is primarily in Swift, so prior experience is highly preferred. If you are an outstanding software engineer with no Swift experience, we'd still love to hear from you.
- Experience using Swift, Xcode and Apple's developer APIs a plus
- A learning mentality and a willingness to try things that may fail. You should be able to learn from both success and failures.
- Ability to communicate effectively with both technical and non-technical teams
- Ability to thrive in a fast-paced, highly collaborative team environment
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
These could be filled by an applied project, elective, or internship — see the program page for examples.
Location: Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, New York, Hoboken, Philadelphia, San Francisco, Seattle At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your ca
- Outstanding academic performance, with a bachelor's degree and at least 2 years of related work experience; or a graduate degree and approximately 18 months of related work experience.?
- Experience in data engineering or hybrid data science roles focused on pipeline scalability and schema management.
- Familiarity in cloud-native data infrastructure (e.g., GCP/AWS, Snowflake, BigQuery, Databricks, Delta Lake).
- Strong SQL/Python/Scala proficiency and experience with orchestration tools (Airflow, dbt).
- The EY Growth Platforms Data Scientist Senior Associate/Consultant will play a critical role building and scaling our multi-source data pipelines- sourcing, merging, and transforming data assets that … The EY Growth Platforms Data Scientist Senior Associate/Consultant will play a critical role building and scaling our multi-source data pipelines- sourcing, merging, and transforming data assets that power high-visibility client engagements. This role will participate in building, cleaning, transforming, and enriching data to power AI/ML-driven agents and dashboards, and collaborate with Business leaders and C-level executives to get hands-on experience solving some of the most interesting and mission-critical business questions with data.
- *Skills and attributes for success
- Lead ingestion and ETL design for structured and semi-structured data (CSV, JSON, APIs, Flat Files).
- Understand schema, data quality, and transformation logic for multiple sources on a client-by-client like NAIC, NOAA, Google Trends, EBRI, Cannex, LIMRA, and internal client logs.
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
These could be filled by an applied project, elective, or internship — see the program page for examples.
Location: Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, New York, Hoboken, Philadelphia, San Francisco, Seattle At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your ca
- Outstanding academic performance, with a bachelor's degree and at least 2 years of related work experience; or a graduate degree and approximately 18 months of related work experience.?
- Familiarity with multi-modal agent frameworks (LangChain, Haystack, RAG pipelines).
- Knowledge in vector databases (e.g., Pinecone, Weaviate, Chroma), retrieval systems, and LLM fine-tuning.
- Strong understanding of real-world structured data merging, schema linking, and model evaluation at scale.
- The EY Growth Platforms AI ML Engineering Senior Associate/Consultant will play a critical role building and maintaining our core advanced analytics platform and serving the technical execution lead f… The EY Growth Platforms AI ML Engineering Senior Associate/Consultant will play a critical role building and maintaining our core advanced analytics platform and serving the technical execution lead for high-visibility client engagements. You'll work with Business leaders and C-level executives to translate business needs into technically executable ML agentic workflows and work alongside a high-performing team of engineers and contractors through end-to-end project lifecycles.
- *Skills and attributes for success
- Partner with Business and Strategy Leads to translate business needs into executable AI workflows, data pipelines, and client-specific product specifications.
- Assist in defining the end-to-end architecture for agents that integrate LLMs, retrieval-augmented generation (RAG), multi-source data ingestion, and analytics components.
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
These could be filled by an applied project, elective, or internship — see the program page for examples.
Position Summary... What you'll do... As a Distinguished Data Scientist in the Marketplace data sciences team, you'll have the opportunity to - + Drive innovative strategic solutionsfor Marketplaceutilizingadvanced SOTA AI and ML solutions at large scale and atacceleratedpace. + Dri
- Bachelor's with >20years, Masters > 17yearsOR Ph.D. in Comp Science/Statistics/Mathematics with > 14years of relevant experience. Educational qualifications should be Computer Science/Statistics/Mathe… Bachelor's with >20years, Masters > 17yearsOR Ph.D. in Comp Science/Statistics/Mathematics with > 14years of relevant experience. Educational qualifications should be Computer Science/Statistics/Mathematics ora related area.
- Experience of acting as a tech lead for > 10 years
- _Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications._
- Option 1: Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field. Option 2:… Option 1: Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field. Option 2: Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 3: 8 years' experience in an analytics or related field.
- As a Distinguished Data Scientist in the Marketplace data sciences team, you'll have the opportunity to -
- Drive innovative strategic solutionsfor Marketplaceutilizingadvanced SOTA AI and ML solutions at large scale and atacceleratedpace.
- Drive data-derived insights by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives
- Work closely with Directors, Sr. Managers of Data Science, and leaders ofArchitecture,Engineering,Product& businessteams to drive the Organizational strategy aroundMarketplace.
- _Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications._
- Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications… Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture.
- *Primary Location...
- 10900 Ne 4th St, Bellevue, WA 98004, United States of America
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
These could be filled by an applied project, elective, or internship — see the program page for examples.
Description Amazon Global Fleet and Products (GFP) organization is responsible for fleet programs and capacity. The Fleet Planning team is looking for a Data Scientist to drive the most efficient use of fleet. Amazon Middle and Last Mile fleet planning is a complex resource allocation problem. T
- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- Master's degree in operations research, applied mathematics, theoretical computer science, or equivalent, or a Associate's degree or above and experience investigating the feasibility of applying scie… Master's degree in operations research, applied mathematics, theoretical computer science, or equivalent, or a Associate's degree or above and experience investigating the feasibility of applying scientific principles and concepts to business problems and products
- Build models and automation for planners for generating vehicle allocation plans
- Partner with program teams to test and measure success of implemented model
- Lead reviews with senior leadership, deep dive model outputs and explain implications of model recommendations.
- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
These could be filled by an applied project, elective, or internship — see the program page for examples.
Summary: Meta is seeking a Data Scientist to join the data science team in the Finance organization that partners very closely with Product, AI, Infrastructure, Finance and other Data Science teams across the company. These teams are building some of the most cutting edge and transformative
- Bachelor's degree in a directly related field, or equivalent practical experience
- A minimum of 12 years of work experience in analytics (minimum of 8 years with a Ph.D.)
- Experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), and/or statistical/mathematical software (e.g., R)
- Meta is seeking a Data Scientist to join the data science team in the Finance organization that partners very closely with Product, AI, Infrastructure, Finance and other Data Science teams across the … Meta is seeking a Data Scientist to join the data science team in the Finance organization that partners very closely with Product, AI, Infrastructure, Finance and other Data Science teams across the company. These teams are building some of the most cutting edge and transformative AI products in the world that are being rolled out to Meta's 3 Billion+ users. Building these products and features requires tens of billions of dollars of capital each year over a sustained period of time. Managing and optimizing the deployment of this vast capital and the allocation of these resources requires a team that has technical expertise in AI and Infrastructure along with a solid understanding of data science, finance and operations. This position will use data and analysis to identify and solve product development's biggest challenges and will require an understanding of how AI and Infrastructure are built, operated and used to serve users. This role will help establish the ROI and company-wide prioritization of such investments and work on solving some of the most important technological problems of our times and also ensure that the company makes efficient investments. As an individual contributor, you will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a high-performing analytics community dedicated to skill development and career growth in analytics and beyond.
- Work with large and complex data sets to solve a wide array of problems using different analytical and statistical approaches
- Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to build and maintain end-to-end models for long range planning and strategic decisions
- Build models to compute and explain Infrastructure OPEX and CAPEX costs at the company, product and resource levels
- 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
- Master's or Ph.D. degree in a quantitative field
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
These could be filled by an applied project, elective, or internship — see the program page for examples.
Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, busin
- Master's or Ph.D. in a relevant STEM field (Data Science, Computer Science, Engineering, Physics, Mathematics, etc.)
- 2+ years of experience in AI/ML algorithm development using core data science languages and frameworks (Python, PyTorch, etc.) and data analysis (NLP, time-series analysis, computer vision)
- 2+ years of experience and a proven track record applying traditional ML and deep learning techniques (CNNs, RNNs, GANs) across real-world projects, including model tuning and performance validation i… 2+ years of experience and a proven track record applying traditional ML and deep learning techniques (CNNs, RNNs, GANs) across real-world projects, including model tuning and performance validation in production environments
- 2+ years of experience deploying and optimizing ML models using tools like Kubernetes, Docker, TensorRT/Triton, RAPIDs, Kubeflow, and MLflow
- 2+ years of experience working in a client-facing, consulting environment
- 1+ years of experience leading project/client engagement teams in the execution of complex AI data science solutions
- 1+ year of experience with LLM/GenAI use cases and developing RAG solutions, agent-based tools and services, and GenAI frameworks (i.e., LangChain, LangGraph, MCP, etc.)
- 1+ year of experience with AWS Sagemaker or AWS ML Studio
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
These could be filled by an applied project, elective, or internship — see the program page for examples.
AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring a Senior Consultant in Data Science to join our Human Capital practice and help shape the future of workforce
- Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science)
- 4+ years of experience in data science, analytics, or a related field - with direct experience in client-facing or consulting environments.
- 4+ years of demonstrated proficiency in SQL for data extraction, transformation, and analysis across relational databases.
- 4+ years of demonstrated proficiency in Python or R for statistical modeling and data wrangling.
- Lead the design, development, and delivery of analytics solutions that address complex workforce and human capital challenges for clients across industries.
- Build and maintain scalable data pipelines, dashboards, and reporting frameworks using SQL and Tableau (or equivalent visualization platforms).
- Translate ambiguous business problems into structured analytical approaches, communicating findings and recommendations clearly to both technical and non-technical stakeholders.
- Collaborate across service lines to embed AI-enabled capabilities and emerging data methodologies into client solutions.
- Advanced degree (MS/PhD) and/or relevant certifications (data science and AI/ML).
- Experience working with workforce, HR, or human capital data (e.g., headcount, attrition, compensation, organizational network analysis).
- AI fluency and familiarity with machine learning concepts, large language model applications, or AI-augmented analytics workflows.
- Economics background or acumen, with the ability to apply labor market economics principles to workforce problems.
- Analyze, manipulate, or process large sets of data using statistical software.
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Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
These could be filled by an applied project, elective, or internship — see the program page for examples.