Amazon · 10 hours ago
Applied Scientist, Customer Behavior Analytics
Seattle, WA
Full-time
Onsite
Mid, Senior Level
$143K/yr - $193K/yr
3+ years expAmazon is a leading technology company known for its innovative solutions and customer-centric approach. They are seeking a Customer Behavior Analytics Scientist to design and develop machine learning models that enhance customer experiences and drive measurable actions. The role involves collaborating with various teams to tackle complex problems in customer behavior analysis using advanced technologies.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
Design and fine-tune large language and generative models for recommendation and engagement, including continued pre-training, supervised fine-tuning, and preference-based alignment, to optimize for long-term customer value rather than short-term clicks
Develop generative recommendation and decision models that produce next-best customer engagement actions (e.g., recommendations, bundles, messaging, incentives, timing), conditioned on structured customer and household-level behavioral context
Build structured, temporal representations of customer behavior (e.g., lifecycle stage, needs, replenishment patterns, engagement history) and integrate them into generative and deep learning models to enable long-horizon reasoning
Experiment scalable representations of customer and household behavior that summarize long engagement history into compact states, supporting efficient, incremental inference in large-scale inference
Design and apply post-training optimization techniques (e.g., auxiliary objectives, preference modeling, offline reinforcement learning or policy optimization) to align model behavior with long-term engagement, satisfaction, and retention metrics
Develop robust evaluation frameworks combining offline metrics, counterfactual analysis, and online experimentation to measure both immediate impact and long-term customer outcomes
Qualification
Required
Experience with programming languages such as Python, Java, C++
Have publications at top-tier peer-reviewed conferences or journals
PhD, or Master's degree and 3+ years of practical machine learning experience
Ability to simplify complex technical concepts and explaining modeling approaches and outcomes to business leaders with the right level of detail
Preferred
Experience using Unix/Linux
4+ years of building machine learning models or developing algorithms for business application experience
Experience working on recommender systems or personalization within search, e-commerce, shopping, advertising or other related fields
Benefits
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
Parental leave
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
2026-01-25
2026-01-25
2026-01-25
Company data provided by crunchbase