Senior Applied Scientist, AWS Economics and Science

AWS is one of Amazon’s largest and fastest growing businesses, serving millions of customers in more than 190 countries. We use cloud computing to reshape the way global enterprises use information technology. We are looking for entrepreneurial, analytical, creative, flexible leaders to help us redefine the information technology industry. If you want to join a fast‑paced, innovative team that is making history, this is the place for you.

AWS Central Economics & Science (ACES) drives best practices for objectively applying economics and science in decision making across AWS. The team collaborates with AWS science and business teams to identify, frame, and analyze complex and ambiguous problems of the highest priority. Through data‑driven insights and modeling, ACES supports strategic decision‑making across the AWS global organization, including sales operations and business performance optimization.

The ACES Sales Channels team is hiring an Applied Scientist (Senior or below) to advance our mission of providing rigorous, causal‑inference‑driven recommendations for AWS sales optimization. This role will focus on building ML systems with a causal modeling foundation, designing seller incentive mechanisms, and developing intervention strategies across the entire sales motion.

• Causal ML System Development:
  Build and deploy machine learning models that emphasize causal inference, ensuring recommendations are grounded in valid interventions.
• Incentive Design:
  Define and model incentives that drive desirable behaviors across AWS sales channels, partner programs, and reseller ecosystems.
• Stakeholder
  
  Collaboration:
  
  Work with business stakeholders to understand requirements, validate approaches, and ensure practical applicability of scientific solutions.
• Scientific Rigor:
  Promote findings at internal conferences and contribute to the team's reputation for methodological excellence.

• 3+ years of building machine learning models for business application experience.
• PhD, or Master's degree.
• Experience programming in Java, C++, Python or related language.
• Experience with neural deep learning methods and machine learning.

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.

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

Los Angeles County applicants:
Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.

These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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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 .

USA, CA, San Francisco -  -  USD annually

USA, NY, New York -  -  USD annually

USA, WA, Seattle -  -  USD annually