Mines and extracts data and applies statistics, machine learning, and deep learning necessary to derive insights and develop solutions on an enterprise scale providing a competitive advantage
Supports the development of automated self-service products and solutions for business partners to effectively interpret data and build data products
Builds production-ready data science capabilities with proficiency in Python or equivalent languages
Provides actionable insights through data science on Personalization, Search & Navigation, SEO & Promotions, Supply Chain, Services, other company priorities, etc.
Conducts deep statistical analysis, including predictive and prescriptive modeling to provide a competitive advantage
Works with more senior-level scientists on the team to translate requirements into an analytical approach; asks the right questions to understand the problem
Contributes to or builds the solution to solve a business problem; helps identify the sources, methods, parameters, and procedures to be used; may also communicate with stakeholders on project scope and timelines
Gathers and assimilates data according to the project plan; works with the team to discuss analysis and findings
Prepares final recommendations, ensuring solutions are scalable and implementable in the business
Executes plan for measuring impact based on discussions with stakeholders, partners, and senior team members
Executes projects with full adherence to enterprise product and project management practices by participating in formal and informal training
Maintains knowledge of techniques, technology, industry trends, best practices, and emerging methodologies and applies it to projects
Requirements & Skills:
Bachelor’s Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field (or equivalent work experience in a related field).
2 Years Experience executing and deploying data science, machine learning, deep learning, and Generative AI solutions preferably in a large-scale enterprise setting (fewer years may be accepted with a Masters’s or Doctorate degree)
2 Year Programming experience (Python, Java, Scala, Rust, etc.) (fewer years may be accepted with a Masters or Doctorate degree)
Master’s Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field and Experience working with cross-functional partners such as product, engineering, and business teams
Experience using multiple data systems and sources (such as Hadoop, Spark, Aster, Teradata, etc.)
Knowledge of SQL and various statistical modeling or machine learning techniques
