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.

Our group is technically rigorous and encourages ongoing academic conference participation and publication. Our leaders are here for you and to enable you to be successful. We believe in being servant leaders focused on influence: good data work has little value if it doesn’t translate into actionable insights that are rolled out and impact the real economy. We are communication centric since being able to explain what we do ensures high success rates and lowers administrative churn. Also: we laugh a lot. If it’s not fun, what’s the point?

Responsibilities

• Ownership includes developing closed loop causal measurement systems along with explainability layers.
• Work backward through partnering deeply with business partners to improve processes in addition to science products.
• Shape the direction of our efforts to drive value of AWS customers.
• Our team takes big swings and works on hard cross‑organizational problems where the optimal success rate is not 100%; we encourage skill growth, stretch assignments in a supportive and fun environment focused on empirically measured impact, advancement, and fun.
• We work hard during work hours but do not encourage working nights or weekends except in very rare, high‑stakes cases to avoid burnout and promote long‑run success.
• Having hobbies, relaxing, and coming to work refreshed and excited leads to bigger impact, faster skill accrual, and career advancement.

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 data scientist experience.
• Experience documenting modeling for technical and business leaders.

Qualifications

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

Benefits

• Sign‑on payments and restricted stock units (RSUs).
• Comprehensive health insurance (medical, dental, vision, prescription, basic life & AD&D, option for supplemental life plans, EAP, mental health support, medical advice line, flexible spending accounts, adoption and surrogacy reimbursement).
• 401(k) matching.
• Paid time off.
• Parental leave.

Pay

• Base salary range: San Francisco, CA – $183,000 to $247,600 USD annually.
• Base salary range: New York, NY – $175,100 to $236,900 USD annually.
• Base salary range: Seattle, WA – $159,200 to $215,300 USD annually.
• Final compensation determined by experience