Data Scientist II, Prime Air

Are you excited to figure out not just what is happening but why and to help build a delivery business thats still taking shape Were looking for a Data Scientist who thrives on ambiguity and wants to own measurement modeling and experimentation across how customers experience Amazons drone-delivery service.

Your work will span the full data-science toolkit: designing and analyzing experiments (A/B tests) deep-diving customer-experience issues to find root causes building propensity and behavioral models forecasting demand and applying causal methods to understand what actually drives our metrics. Youll work with large evolving operational and customer datasets; partner closely with data engineers scientists and business stakeholders; and translate rigorous analysis into clear decision-ready recommendations. Because the business is early and moving fast youll help define the right problems as much as solve them with real room to explore new methods and shape how we measure and improve as we scale.

If youre a curious collaborative problem-solver whos energized by turning complex ambiguous data into insight and clear direction wed love to hear from you.

Key job responsibilities
- Design and execute data science solutions using a range of methodologiesincluding machine learning statistical modeling and generative AI techniquesto address business problems where the approach is not immediately clear.
- Acquire transform and validate large evolving operational and customer datasets dive deep to investigate anomalies and data quality; and partner with data engineers to bring models and metrics into production.
- Design run and analyze experiments (A/B and quasi-experimental studies) to measure impact size opportunities and guide product and operational decisions.
- Deep-dive customer-experience issues and metric movements to identify root causes the why behind the what including how our metrics and their drivers relate and translate findings into clear actionable recommendations.
- Communicate complex analyses to technical and non-technical audiences earn the trust of senior leaders and influence roadmap and prioritization decisions with your recommendations.
- Own your workstream end-to-end from problem definition through delivery and ongoing measurement partnering across data engineering product and business teams as the business scales.

A day in the life
You might start your morning reviewing model performance metrics before joining a working session with engineers to refine a data pipeline. After lunch you could be prototyping a new machine learning approach running experiments and comparing results against baseline models. Later you might present preliminary findings to business partners translating statistical outputs into plain-language recommendations. You will regularly participate in team discussions scientific reviews and mentoring conversations that keep you learning and growing.

- 2 years of data scientist or similar role involving data extraction analysis statistical modeling and communication experience
- 2 years of data querying languages (e.g. SQL Hadoop/Hive) experience
- 3 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
- Masters degree in a quantitative field or Bachelors degree and 5 years of a quantitative field such as statistics mathematics data science business analytics economics finance engineering or computer science experience
- Experience applying theoretical models in an applied environment

- Experience in Python Perl or another scripting language
- Experience in a ML or data scientist role with a large technology company
- Experience developing experimental and analytic plans for data modeling processes use of strong baselines ability to accurately determine cause and effect relations
- Experience applying causal inference methods (e.g. experimentation/A-B testing quasi-experimental or observational causal methods such as DiD IV or causal DAGs)
- Experience designing building or reasoning over knowledge graphs (entity/ontology modeling graph databases or graph embeddings)

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

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

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 WA Seattle - 136000.00 - 184000.00 USD annually