Senior Data Scientist, AWS Central Econ and Science

About the role

Our team, AWS Central Econ and Science, partners across AWS leveraging data, economics, science, and business context to build new tech, tools and policies that help AWS customers and the business. In this role you will help build out AWS's CLV framework in support of direct, partner and marketplace selling motions. This includes end‑to‑end ownership of notification for human and agentic selling motions to improve customer value from AWS products.

Responsibilities

• Develop closed‑loop causal measurement systems and accompanying explainability layers.
• Partner deeply with business partners to work backward, improve processes and science products.
• Shape the direction of efforts to drive value for AWS customers.
• Own end‑to‑end notification for human and agentic selling motions to enhance customer value.

Requirements

• 5+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab, etc.).
• 4+ years of experience as a data scientist.
• Experience documenting models for technical and business leaders.

Qualifications

• Experience managing data pipelines.
• Experience as a leader and mentor on a data science team.

Skills

• SQL, Python, R, SAS, Matlab.
• Data pipeline management.
• Leadership and mentoring.
• Causal measurement and explainability techniques.

Benefits

• Comprehensive health insurance (medical, dental, vision, prescription, Basic Life & AD&D, optional supplemental life plans).
• Employee Assistance Program (EAP), mental health support, medical advice line.
• Flexible Spending Accounts.
• Adoption and surrogacy reimbursement coverage.
• 401(k) matching.
• Paid time off.
• Parental leave.
• Sign‑on payments and restricted stock units (RSUs) as part of the total package.

Pay

USA, CA, San Francisco: $