Staff Data Scientist

Walmart • Sunnyvale, CA

5d • $172,170 - $286,000 • Onsite

About The Position

The Staff Data Scientist analyzes large data sets and develops custom models and algorithms to support innovative business solutions within Walmart eCommerce. The role builds complex data sets from multiple internal and external sources, conducts advanced statistical analysis to identify trends and relationships, and develops learning systems for continuous data flows and offline analysis. It trains, tests, validates, and scales algorithms for use with new and large data sets, including models for predicting future data characteristics and producing appropriate search results.

The position provides analytical support and guidance to large project teams working on areas such as email targeting, business optimization, and consumer recommendations. It translates business needs into data requirements, collaborates with cross-functional partners and project teams to implement modeling solutions, and acts as a subject matter expert in statistical analysis and modeling. The role also researches industry trends and current techniques, using tools and technologies such as MySQL, Hadoop, Weka, R, Matlab, ILog, HBase, MapReduce, LAPack, and Gurobi.

The position is located at 1375 Crossman Avenue, Sunnyvale, California. The salary range is $172,170 to $286,000 per year, with additional annual or quarterly performance incentives.

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 data and perform analysis.
• 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 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 data sources.
• Conduct advanced statistical analysis to identify trends and significant relationships in data.
• Build learning systems to analyze and filter continuous data flows and support offline data analysis.
• Train algorithms to apply models to new data sets; test and validate models and algorithmic techniques.
• Scale algorithms to large data sets and combine data features to develop search models.
• Develop custom data models and algorithms to support business solutions.
• Translate business needs into data requirements and collaborate with cross-functional partners.
• Interpret data to identify trends that can be applied to future data sets.
• Collaborate with project teams to implement data modeling solutions and develop models of the current state to identify needed improvements.
• Provide analytical support and guidance to large project teams in areas such as email targeting, business optimization, and consumer recommendations.
• Research industry trends, techniques, best practices, and up-to-date technologies to support assigned projects.
• Serve as a subject matter expert in statistical analysis and modeling for the project team.

Benefits

• Medical, vision, and dental coverage.
• 401(k), stock purchase, and 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.

What This Job Offers

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