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Salary
$108k – $160k per year
Location
In office (Bellevue)
Seniority
Junior · 2+ years exp
Visa
H-1B filings in 12 months: 16,768 · for this role: 1,907 · green card filings: 56
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 28, 2026. First seen by Alion on Oct 23, 2026. Amazon scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Amazon is an American technology and retail conglomerate founded by Jeff Bezos in 1994 as an online bookstore and headquartered in Seattle, Washington. It operates the world's largest online marketplace together with a global logistics network, physical grocery stores and a third-party seller platform that accounts for most units sold. Amazon Web Services, launched in 2006, is the leading public cloud provider and generates the majority of the group's operating profit, while advertising, Prime Video, Alexa devices and Kuiper satellite broadband round out the business.

The Central Learning Solutions (CLS) Science team in Amazon Operations builds state-of-the-art solutions for enhancing leadership and associate development across the organization. We develop technology and mechanisms for building personalized learning experiences based on the profiles of different learners and assess the post-training performance curves for different learner profiles.

As a Data Scientist on the team, you will be driving the data science roadmap for the CLS Science team. You will leverage your knowledge in statistics and econometrics, estimate the causal impact of training interventions, recommend the right interventions for a given learner profile, and measure the post-launch success of these interventions through A/B weblabs. These insights will help in dynamically changing the training content of Learning & Development courses and unlock opportunities to improve both training effectiveness and learner experience. You will collaborate effectively with internal stakeholders and cross-functional teams for solving business problems, create operational efficiencies, and deliver successfully against high organizational standards.

Key job responsibilities

- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and implementation.

- Use advanced causal inference methodologies to estimate the learning curves for different learner profiles and the effectiveness of training content.

- Perform statistical analysis and statistical tests including hypothesis testing and A/B testing.

- Implement new statistical, machine learning, or other mathematical methodologies to solve specific business problems.

- Present deep dives and analysis to both technical and non-technical stakeholders, ensure clarity, and influence the strategy of business partners.

About the team

Central Learning Solutions (CLS) is the centralized technical team that builds Learning & Development products for North America Operations employees. CLS Science teams owns the science components that power the different products on Impact Estimation, Self Serve Analytics, Content Understanding, and Personal learning.

Basic qualifications

- 1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience

- 2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience

- 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience

- Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)

Preferred qualifications

- Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)

- Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R

- Knowledge of machine learning concepts and their application to reasoning and problem-solving

- Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)

- Experience working with or evaluating AI systems

- Experience applying quantitative analysis to solve business problems and making data-driven business decisions

- Experience effectively communicating complex concepts through written and verbal communication

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Bellevue - 108,300.00 - 160,000.00 USD annually

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