Senior Applied Scientist, AWS Economics and Science
Listed on 2026-06-18
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Software Development
Machine Learning/ ML Engineer
Job Overview
AWS is one of Amazon’s largest and fastest growing businesses. The ACES Sales Channels team is hiring an Applied Scientist (Senior or below) to provide rigorous, causal‑inference‑driven recommendations for AWS sales optimization. The role focuses on building ML systems with a causal modeling foundation, designing seller incentive mechanisms, and developing intervention strategies across the entire sales motion.
Key Responsibilities- Build and deploy machine learning models that emphasize causal inference, ensuring recommendations are grounded in valid interventions.
- Define and model incentives that drive desirable behaviors across AWS sales channels, partner programs, and reseller ecosystems.
- Collaborate with business stakeholders to understand requirements, validate approaches, and ensure practical applicability of scientific solutions.
- Promote findings at internal conferences and contribute to the team’s reputation for methodological excellence.
- 3+ years of building machine learning models for business applications.
- PhD or Master’s degree.
- Experience programming in Java, C++, Python or a related language.
- Experience with neural deep learning methods and machine learning.
- Experience with modeling tools such as R, scikit‑learn, Spark MLLib, MxNet, Tensor Flow, Num Py, Sci Py, 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 working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence despite stressful conditions; communicating effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and following 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 qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.
Base salary ranges:
USA, CA, San Francisco - $ – $ USD annually
USA, NY, New York - $ – $ USD annually
USA, WA, Seattle - $ – $ USD annually
Amazon offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. Compensation includes sign‑on payments and restricted stock units (RSUs) and will be determined based on experience, qualifications, and location.
Company: Services LLC
Job : A
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