Data Scientist, Amazon Ads Marketing Decision Science

Amazon Advertising drives billions of ad impressions and millions of clicks daily powering discovery and sales for advertisers across Amazons Retail and Marketplace businesses. The Ads Marketing Decision Science team sits at the intersection of data science and marketing strategy. We build intelligent data-driven systems that analyze advertiser behavior at large scale to deliver the right guidance to the right advertiser at the right time. Our work spans behavioral modeling content intelligence automated decision systems and GenAI applications enabling personalized marketing experiences that help advertisers make smarter advertising decisions and grow their business on Amazon.

We are looking for a Data Scientist who brings strong fundamentals in machine learning causal inference and statistical modeling to solve real advertiser problems. You will build predictive models design experiments develop segmentation frameworks and leverage GenAI capabilities where applicable taking solutions end-to-end from proof-of-concept to production at scale. You will partner closely with scientists engineers and product managers on a daily basis to prototype rapidly ensure data integrity in production systems and deliver measurable advertiser impact. If you are passionate about solving real-world problems with next level science come join us as we innovate and make history.

Key job responsibilities
Define and execute data science solutions end-to-end from problem framing through production deployment.
Build machine learning models (classification regression clustering ranking) for advertiser segmentation propensity modeling and recommendations.
Apply causal inference and experimentation methods (A/B testing difference-in-differences propensity score matching) to measure the impact of marketing interventions.
Analyze large-scale advertiser behavioral data to identify trends surface growth opportunities and support optimal decision making.
Collaborate with colleagues across science and engineering disciplines for fast turnaround proof-of-concept prototyping at scale.
Establish and drive data hygiene best practices to ensure coherence and integrity of data feeding into production ML/AI solutions.
Leverage GenAI and LLM capabilities to enhance science products where applicable

A day in the life
You will solve real-world problems by analyzing large volumes of advertiser data building predictive models designing experiments and measuring business impact. You will prototype rapidly validate ideas with data and partner with engineers to productize and scale successful solutions. You will collaborate daily with scientists engineers and product managers across the advertising organization working in a cross-functional fast-paced environment where data drives decisions and helps advertisers grow.

About the team
We are a team of Applied Scientists Research Scientists Data Scientists and Business Intelligence Engineers with deep expertise in ML NLP Gen-AI RL and causal inference from a diverse range of backgrounds. We partner closely with strong engineers product managers and sales leaders who bring ads-industry depth and experience building scalable modeling and software solutions.

- 1 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience
- 2 years of data/research scientist statistician or quantitative analyst in an internet-based company with complex and big data sources experience
- Bachelors degree

- Knowledge of statistical packages and business intelligence tools such as SPSS SAS S-PLUS or R
- Experience with clustered data processing (e.g. Hadoop Spark Map-reduce and Hive)

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 NY New York - 119200.00 - 178400.00 USD annually

Required Experience:

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