About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Research Services.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

The Confidential Client’s Central Learning Solutions Science team builds data-driven systems to improve learning and development across operations. As a Data Scientist I on this team you will:

• Drive the data science roadmap for learning products, from analysis through deployment.
• Design and implement causal inference studies to estimate the impact of training interventions on post-training performance.
• Run and analyze A/B tests and other experimentation (weblabs) to measure intervention effectiveness.
• Build scalable, automated analysis and modeling pipelines for large datasets.
• Implement and validate statistical and machine learning methods to solve business problems.
• Present technical findings and recommendations to both technical and non-technical stakeholders to influence learning content and strategy.

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About the Team

Central Learning Solutions (CLS) is the centralized technical team building Learning & Development products for North America Operations. The CLS Science group owns impact estimation, self-serve analytics, content understanding, and personalized learning science components that power product decisions and learner experiences.

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Minimum Qualifications

• 1+ years experience with data-querying languages (e.g., SQL), scripting (e.g., Python), or statistical software (e.g., R, SAS, Matlab).
• 2+ years experience as a data/research scientist, statistician, or quantitative analyst working with large, complex internet-scale data sources.
• 1+ years creating or contributing to mathematical or educational content (textbooks, papers, course materials).
• Master’s degree in a STEM field, or equivalent practical experience in STEM.

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Preferred Qualifications

• Ph.D. in a STEM field.
• Experience with statistical packages and BI tools (SPSS, SAS, R).
• Strong knowledge of causal inference techniques and experimental design.
• Familiarity with machine learning concepts and real-world applications.
• Experience with large-scale clustered data processing (Hadoop, Spark, Hive).
• Experience evaluating or working with AI systems.
• Strong written and verbal communication skills; ability to explain complex analyses to diverse audiences.

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Location & Employment

• Location: Bellevue, WA (on-site).
• Employment type: Full-time.

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Compensation & Benefits

• Base salary range (USA, WA, Bellevue): $108,300 — $160,000 USD annually.
• Confidential Client package may include sign-on payments, equity/RSU components, and a comprehensive benefits package (medical, dental, vision, retirement/401(k) matching, paid time off, parental leave, and other standard benefits).

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Additional Notes

• This position requires working with sensitive and large-scale operational data; candidates should be comfortable with secure data practices and cross-functional collaboration.
• Reasonable accommodations are available for applicants with disabilities during the application and hiring process; please notify the recruiter or Careertakes if you need support.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.