Data Scientist III - AMZ9898176

Amazon•North Reading, MA

8d•Onsite

About The Position

This role involves owning the data science aspects of various products to facilitate data-driven decision-making, optimize product performance, and track product performance. The Data Scientist III will collaborate directly with product managers to guide product design and with Technical Product Managers to assist with build planning. Key responsibilities include translating business problems and products into data requirements and metrics, initiating the design, development, and implementation of scientific analysis projects, and owning the analysis, modeling, system design, and development of data science solutions for products. The role also requires documenting and presenting model/analysis results to the business, bridging uncertainties in problem definition and data scientific solution approaches, and building consensus on data, metrics, and analysis to drive business and system strategy.

Requirements

Master's degree or foreign equivalent degree in Statistics, Applied Mathematics, Economics, Engineering, Computer Science or a related field and two years of experience in the job offered or a related occupation.
Alternatively, a Bachelor's degree or foreign equivalent degree in Statistics, Applied Mathematics, Economics, Engineering, Computer Science, or a related field and five years of progressive post-baccalaureate experience in the job offered or a related occupation.
One year of experience in building statistical models and machine learning models using large datasets from multiple resources.
One year of experience in building complex data analyses by leveraging scripting languages including Python, Java, or related scripting language.
One year of experience in communicating with users, technical teams, and management to collect requirements, evaluate alternatives, and develop processes and tools to support the organization.

Responsibilities

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.