Senior Data Scientist

Walmart • San Bruno, CA

6d • Onsite

About The Position

The Senior Data Scientist develops custom data models and algorithms to support innovative business solutions for Walmart eCommerce. The role builds large, complex datasets from internal and external sources; performs advanced statistical analysis to identify trends and significant data relationships; and develops learning systems to analyze continuous data flows and offline data. Algorithms are trained, validated, scaled to large datasets, and applied to future datasets to predict data characteristics and provide appropriate search results. The position also develops models of the current state to identify needed improvements and provides analytical support to project teams in collaboration with cross-functional business partners.

The role researches industry trends, techniques, and best practices and uses current technologies and analytical methods to support assigned projects. Tools and technologies mentioned include MySQL, Hadoop, Weka, R, Matlab, ILog, HBase, MapReduce, LAPack, and Gurobi. The position is based at 850 Cherry Avenue, San Bruno, CA 94066.

Requirements

• Master’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field and 1 year of experience in an analytics-related field; OR a Bachelor’s degree or equivalent in one of those fields and 3 years of experience in an analytics-related field.
• Experience preparing and cleaning large, complex datasets using SQL.
• Experience with data analytics and dashboarding tools, including Microsoft Excel.
• Experience writing Python scripts to schedule and run weekly summary statistics for metrics tracking.
• Experience with Causal Interference to estimate the impact of business strategies.
• Experience developing analytical dashboards using PowerBI, Data Studio, or Tableau.
• Experience with statistical analysis tools and methods, including A/B testing and T-tests.
• Experience in customer analysis and predictive modeling.
• Experience with descriptive analytics, including predicting and tracking business metrics and dataset analysis.
• Experience running machine learning models.
• Experience with data cleaning, preprocessing, and data pipeline building.
• Experience with programming languages including C, Python, and R.
• The employer will accept any amount of graduate coursework, graduate research experience, or professional experience with the required skills.

Responsibilities

• Develop custom data models and algorithms to drive business solutions.
• Build large, complex datasets using multiple internal and external data sources.
• Conduct advanced statistical analyses to identify trends and significant data relationships.
• Build learning systems to analyze continuous data flows and perform offline data analysis.
• Train algorithms to apply models to new and future datasets.
• Validate models and algorithmic techniques, and scale algorithms to large datasets.
• Combine data features to develop search models and provide appropriate search results.
• Analyze large datasets to predict future data characteristics.
• Provide analytical support to Walmart eCommerce project teams.
• Research industry trends, techniques, and best practices, and use up-to-date technologies to support assigned projects.
• Work with cross-functional business partners.
• Develop models of the current state to determine needed improvements.

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, and voting leave.
• Short-term and long-term disability.
• Education assistance, including 100% company-paid college degrees.
• Company discounts.
• Military service pay.
• Adoption expense reimbursement.
• Annual or quarterly performance incentives.

What This Job Offers

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