Sr. Data Scientist, Elevated Shopping

Requirements

• 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 4+ years of data scientist experience
• Experience with statistical models e.g. multinomial logistic regression
• Bachelor's degree or above in Math, Statistics, Computer Science, or related Science field, or Master's degree and 5+ years of professional or military experience
• Experience building large-scale machine learning models and infrastructure for online recommendation, ads ranking, personalization, or search
• Knowledge of data analysis languages (e.g., R, Stata, Python, etc.) or other statistical software
• Experience in communicating with users, other technical teams, and management to collect requirements, evaluate alternatives and develop processes and tools as needed to support the organization
• Experience managing data pipelines
• Experience as a leader and mentor on a data science team
• 4+ years of processing large, multi-dimensional datasets from multiple sources experience
• Experience that includes strong analytical skills, attention to detail, and effective communication abilities
• Experience participating in or leading technical collaborations and creating alignment across diverse groups (e.g., hardware engineering, software engineering, program management)
• - Strong programming skills in Python, Java, or related languages
• - Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices.
• - Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.
• Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
• USA, WA, Seattle - 159,200.00 - 215,300.00 USD annually

Additional Information

Own the data science elements of various products to help with data-based decision making, product performance optimization, and product performance tracking. Work directly with product managers to help drive the design of the product. Work with Technical Product Managers to help drive the build planning. Translate business problems and products into data requirements and metrics. Initiate the design, development, and implementation of scientific analysis projects or deliverables. Own the analysis, modelling, system design, and development of data science solutions for products. Write documents and make presentations that explain model/analysis results to the business. Bridge the degree of uncertainty in both problem definition and data scientific solution approaches. Build consensus on data, metrics, and analysis to drive business and system strategy.

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