Data Scientists

15-2051.00 Bright Outlook $158K

3+2

postings · Bachelor's

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".

Data Scientist I, Demand Forecasting

Amazon · Bellevue, WA

Entry-level Bachelor's

2026-06-04

WA 2026-06-04

Requirements

3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
3+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
Bachelor's degree
Familiarity with large language models (LLMs) or generative AI applications in analytics or explainability

Preferred

Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
Experience with time series forecasting, demand modeling, or bias correction techniques

Responsibilities

Design and analyze experiments (A/B tests) to measure the impact of forecast model changes and SCOT initiatives, drawing causal inferences from both experimental and observational data
Develop bias correction models to improve forecast accuracy across Amazon's demand forecasting systems, including National, Regional, Grocery, SSD, Inbound, and CIV forecasts
Contribute to GenAI/LLM-based research for forecast explainability and interpretability, helping stakeholders understand what drives forecast signals
Support and enhance the Labs experimentation platform by building scalable inference and measurement solutions that quantify the impact of forecasting improvements
Work horizontally across the forecasting product portfolio and collaborate with product managers, applied scientists, and engineering teams to embed analytics and ML solutions where they create the most value
Use large datasets to build models addressing ambiguous forecasting questions, including demand prediction, out of stock, seasonality, and varying lead times and spans
Interpret data, write reports, and communicate measurement results to stakeholders by translating technical frameworks into business-oriented insights and actionable recommendations
Keys to success in this role include exceptional analytics, statistics, judgment, and communication skills. The candidate will need to be able to extract insights from data and clearly communicate appropriate triggers and actions
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
The benefits that generally apply to regular, full-time employees include:
Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!
At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!

View full posting on CareerOneStop → ID: 7583b72888d1

Post Bachelor's Research Associate - AI & Data Science for National Security

Pacific Northwest National Laboratory · Richland, WA

Entry-level Bachelor's

2026-05-16

WA 2026-05-16

Requirements

Candidates must have received a Bachelor's degree within the past 24 months or within the next 8 months from an accredited college or university.
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

Degree in Computer Science, Data Science, Statistics, or Applied Mathematics.
Experience programming in Python; AI/ML packages like PyTorch, computer vision libraries (torchvision, PIL), AWS integrations (SageMaker, S3, boto3), message queues (Kafka) and database languages such as SQL.
Experience with production systems or working in operationally-focused environments.
Comfort working across a full cloud-based pipeline from research to implementation and testing to deployment.
Previous experience as intern supporting the National Security domain at a National Laboratory.

Responsibilities

Innovate and operationalize multimodal AI/ML solutions, integrating radiographic analysis, text processing, and real-time sensor information to address challenges in national security.
Drive impactful results from research to operational deployment, translating technical work into immediate real-world impact through direct integration with active systems and in presentation form to diverse audiences with varied technical backgrounds.
Ensure the reproducibility and documentation of all code and analytical pipelines to support a high standard of scientific and technical rigor, including GitOps practices, managing infrastructure and application code via version control.
Own research direction and drive independent initiative, in this setting decisions and outcomes directly shape operational systems protecting national borders.

View full posting on CareerOneStop → ID: 18f78758e1cb

Data Scientist I, Demand Forecasting

Amazon · Bellevue, WA

Entry-level Bachelor's

2026-04-28

WA 2026-04-28

Requirements

3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
3+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
Bachelor's degree
Familiarity with large language models (LLMs) or generative AI applications in analytics or explainability

Preferred

Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
Experience communicating complex ideas to technical and non-technical audiences
Experience with time series forecasting, demand modeling, or bias correction techniques

Responsibilities

Design and analyze experiments (A/B tests) to measure the impact of forecast model changes and SCOT initiatives, drawing causal inferences from both experimental and observational data
Develop bias correction models to improve forecast accuracy across Amazon's demand forecasting systems, including National, Regional, Grocery, SSD, Inbound, and CIV forecasts
Contribute to GenAI/LLM-based research for forecast explainability and interpretability, helping stakeholders understand what drives forecast signals
Support and enhance the Labs experimentation platform by building scalable inference and measurement solutions that quantify the impact of forecasting improvements
Work horizontally across the forecasting product portfolio and collaborate with product managers, applied scientists, and engineering teams to embed analytics and ML solutions where they create the most value
Use large datasets to build models addressing ambiguous forecasting questions, including demand prediction, out of stock, seasonality, and varying lead times and spans
Interpret data, write reports, and communicate measurement results to stakeholders by translating technical frameworks into business-oriented insights and actionable recommendations
Keys to success in this role include exceptional analytics, statistics, judgment, and communication skills. The candidate will need to be able to extract insights from data and clearly communicate appropriate triggers and actions
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
The benefits that generally apply to regular, full-time employees include:
Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!
At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!

View full posting on CareerOneStop → ID: a95faa4943e6

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