Senior Data Scientist

Work address: 850 Cherry Avenue, San Bruno, CA 94066

• Develop custom data models to drive innovative business solutions.
• Build complex data sets from multiple data sources, both internally and externally.
• Conduct advanced statistical analysis to determine trends and significant data relationships.
• Build learning systems to analyze and filter continuous data flows and offline data analysis.
• Train algorithms to apply models to new data sets.
• Validate models and algorithmic techniques.
• Scale new algorithms to large data sets.
• Combine data features to determine search models.
• Research new techniques and best practices within the industry.
• Utilize system tools including MySQL, Hadoop, Weka, R, Matlab, and ILog.
• Analyze large data sets to develop custom models and algorithms to drive business solutions.
• Work on project teams to provide analytical support to projects for Walmart eCommerce.
• Build large data sets from multiple sources to build algorithms for predicting future data characteristics.
• Those algorithms will be tested, validated, and applied to large data sets.
• Train the algorithms so they can be applied to future data sets and provide the appropriate search results.
• Research new trends in the industry and utilizing up-to-date technology (for example, HBase, Map Reduce, LAPack, Gurobi) and analytical skills to support assigned projects.
• Work with cross-functional partners across the business.
• Develop models of current state to determine needed improvements.

Master's degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 year of experience in an analytics related field; OR Bachelor's degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years of experience in an analytics related field.

• Must have experience with: preparing and cleaning large and complex datasets on SQL;
• data analytics and dashboarding on tools including Microsoft Excel;
• Python script for scheduling and running weekly summary statistics for metrics tracking;
• Causal Interference to estimate business strategy impact;
• analytical dashboards using PowerBI, Data Studio, Tableau;
• statistical analysis tools - A/B testing, T-Test;
• customer analysis and predictive modelling;
• descriptive analytics - for predicting and tracking business metrics, dataset analysis;
• running machine learning models;
• data cleaning, pre-processing and data pipeline building;
• and programming languages including C, Python, R.

Employer will accept any amount of graduate coursework, graduate research experience or professional experience with the required skills.

Salary Range: $142,438/year to $234,000/year.

Additional compensation includes annual or quarterly performance incentives.

• At Walmart, we offer competitive pay as well as performance-based incentive awards and other great benefits for a happier mind, body, and wallet.
• Health benefits include medical, vision and dental coverage.
• Financial benefits include 401(k), stock purchase and company-paid life insurance.
• Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty and voting.
• Other benefits include short-term and long-term disability, education assistance with 100% company paid college degrees, company discounts, military service pay, adoption expense reimbursement, and more.
• Eligibility requirements apply to some benefits and may depend on your job classification and length of employment.
• Benefits are subject to change and may be subject to a specific plan or program terms.
• For information about benefits and eligibility, see

Wal-Mart is an Equal Opportunity Employer.

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Pay Rate... $0.00 Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

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