Data Scientist, EU Prime and Marketing Analytics & Science (PRIMAS)

Job Title: Data Scientist, EU Prime and Marketing Analytics & Science (PRIMAS) Company: Amazon.com Job Category: Machine Learning Roles & Responsibilities: The EU Marketing \& Prime organization is looking for a Data Scientist to join the PRIMAS team. This role sits at the intersection of applied statistics and large\-scale analytics — you'll design experiments and causal models, and also own the data pipelines, metrics, and reporting infrastructure that make those results usable across the business. Key job responsibilities 1\. Design and implement scalable, statistically rigorous experiments (A/B, geo, holdout, quasi\-experiments) to measure marketing incrementality across channels. 5\. Develop measurement frameworks that quantify the true, platform\-independent contribution of marketing over time, and build the dashboards and reporting that keep those metrics visible to the business. 8\. Communicate experiment design, results, and trade\-offs clearly to business and leadership audiences, including inputs into business reviews, and influence decisions and technical direction across teams. Work Location: Karnataka, India Availability: Full time

Are you passionate about giving customers the richest, most inspiring experience in their shopping journey? Do you like to dive deep to understand how customer\-centric solutions drive measurable results? Do you enjoy working closely with the business and software engineers to design rigorous experiments, build the data infrastructure behind them, and translate results into decisions? You are in the right place! Come join our Prime \& Marketing Analytics and Science (PRIMAS) team, where your work will directly impact millions of customers. BASIC QUALIFICATIONS ------------------------ * 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 * 1\+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience * Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM) PREFERRED QUALIFICATIONS ---------------------------- * Ph.D. in Science, Technology, Engineering, or Mathematics (STEM) * Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S\-PLUS, or R * Knowledge of machine learning concepts and their application to reasoning and problem\-solving * Experience with clustered data processing (e.g., Hadoop, Spark, Map\-reduce, and Hive) * Experience working with or evaluating AI systems * Experience applying quantitative analysis to solve business problems and making data\-driven business decisions * Experience effectively communicating complex concepts through written and verbal communication Key Skills: Machine Learning, Python Salary: Not disclosed