Staff Data Scientist

Walmart • Sunnyvale, CA

4d • Onsite

About The Position

The Staff Data Scientist analyzes large data sets and develops custom models and algorithms to drive innovative business solutions within Walmart eCommerce. The role builds complex data sets from internal and external sources, applies advanced statistical analysis to identify trends and relationships, and develops learning systems for continuous data flows and offline analysis. Models and algorithms are trained, validated, scaled, and applied to new data sets to predict future data characteristics and provide appropriate search results.

The position provides analytical support and guidance to large project teams working on initiatives such as email targeting, business optimization, and consumer recommendations. The Staff Data Scientist translates business needs into data requirements, collaborates with cross-functional partners and project teams to implement data-modeling solutions, develops models of the current state to identify needed improvements, and serves as a subject matter expert in statistical analysis and modeling. The role also researches industry techniques and uses current technologies to support assigned projects.

Requirements

• Master’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field and 2 years of experience in an analytics-related field; OR a bachelor’s degree or equivalent in one of these fields and 4 years of experience in an analytics-related field.
• Experience using SQL to extract and analyze data.
• Experience using Python to build machine-learning models and perform complex analysis that cannot be done using SQL.
• Experience using Tableau to create dashboards that visually represent trends in key metrics.
• Experience using A/B testing methodologies to evaluate the impact of new product launches.
• Experience using MS Excel for basic calculations and quick ad hoc analysis.
• Experience developing machine-learning models to predict customer behavior and recommend optimized spending strategies.
• Experience performing ETL operations to create structured tables from raw, unclean data sources.
• Experience using quasi-experimental techniques when A/B tests are not feasible for measuring product launches.
• Experience defining KPIs including activation, retention, churn, and feature adoption.
• Experience identifying high-impact cohorts and tailoring product strategies accordingly.
• Experience predicting product usage, growth, and the impact of future launches.
• The employer will accept any amount of experience with the required skills.

Responsibilities

• Build complex data sets from multiple internal and external sources.
• Conduct advanced statistical analysis to identify trends and significant data relationships.
• Build learning systems to analyze and filter continuous data flows and perform offline data analysis.
• Train algorithms to apply models to new data sets, and validate and scale models and algorithmic techniques.
• Combine data features to develop search models.
• Develop custom data models and algorithms to drive business solutions.
• Translate business needs into data requirements and collaborate with cross-functional partners.
• Interpret data to identify trends across future data sets.
• Collaborate with project teams to implement data-modeling solutions and develop current-state models to identify improvements.
• Provide analytical support and guidance to large project teams on projects such as email targeting, business optimization, and consumer recommendations.
• Research industry trends and use up-to-date technology and analytical skills to support assigned projects.
• Act as a subject matter expert in statistical analysis and modeling for the project team.
• Use machine learning and product analytics to predict customer behavior, product usage, growth, and the impact of future launches.
• Create structured tables from raw, unclean data through ETL operations.
• Define KPIs, identify high-impact cohorts, and tailor product strategies accordingly.

Benefits

• Medical, vision, and dental coverage.
• 401(k).
• Stock purchase.
• Company-paid life insurance.
• Paid time off, including sick leave.
• Parental leave, family care leave, bereavement leave, jury duty leave, and voting leave.
• Short-term and long-term disability.
• Education assistance, including company-paid college degrees.
• Company discounts.
• Military service pay.
• Adoption expense reimbursement.
• Performance-based incentive awards, including annual or quarterly performance incentives.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior