Position: Senior Data Scientist

Job Location: 1375 Crossman Avenue, Sunnyvale, CA 94089

Duties: Help uncover data insights and deliver outstanding business outcomes and insights by working closely with Product, Engineering, and Data Science teams. Define, design, and implement metrics and tools to convey and uncover business insights and power data driven business and product decisions by enabling PMs to infer the appropriate business direction. Understand business data requirements, analyze business systems processes, and help identify the most suitable source for data that is fit for purpose. Write queries and analyze data to identify patterns, trends, outliers, and correlations. Support the identification and application of statistical techniques based on requirements and assist in the planning, design, and implementation of exploratory data analysis research projects. Translate business requirements into projects, activities, and tasks and develop specific artifacts. Identify appropriate methods/tools to be leveraged to provide a solution for the problem. Generate appropriate graphical representations of data and model outcomes. Understand customer requirements to design appropriate data representation for multiple data sets.

Minimum education and experience required: 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.

Skills required: Experience with Python for data analysis, application development, and EDA. Experience with SQL for data cleaning, data manipulation, and exploratory data analysis. Experience with Data Visualization using Tableau, Superset, and Python. Experience with Github and Version Control for collaborative development. Experience with data modeling and implementation. Experience with statistical techniques including A/B testing, Causal Analysis, and Regression Analysis. Experience with data analysis interpretation to derive meaningful insights to support data-driven decisions. Experience with project management and technical presentations. Experience with Text Classification and Language Modeling using Python and Pytorch. Employer will accept any amount of experience with the required skills.

Salary Range: $144,075/year to $234,000/year. Additional compensation includes annual or quarterly performance incentives.  Additional compensation for certain positions may also include: Regional Pay Zone (RPZ) (based on location) and Stock equity incentives.

Benefits: 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 One.Walmart.com.

Wal-Mart is an Equal Opportunity Employer.

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