Senior Data Scientist

Position: Senior Data Scientist  

Job Location: 860 W. California Avenue, Sunnyvale, CA 94086 

Duties: Research, design, and implement data models and cutting-edge algorithms on high-dimensional, fast-moving, unstructured, and structured data. Process complicated and large-scale datasets using distributed computing platform, extract insights from data, predict future trends, and optimize towards business metrics. Build advanced feature extraction algorithms that feed into various advertising applications, including audience targeting, relevance and ranking, and performance optimization. Build machine learning and statistical models to predict or estimate key signals that are used to optimize advertising product performance. Run large scale statistical A/B testing to evaluate performance of machine learning and statistical models in advertising applications which serve hundreds of millions of impressions per day. Build compelling data visualizations and interactive dashboards for monitoring and sharing business insights internally and externally. 

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 coding in one of the following object-oriented programming languages: Python, Java, or Javascript. Experience applying deep learning algorithms. Experience with research and machine learning algorithms on business problems. Experience building data processing pipelines. Experience coding in distributed framework Spark. Experience coding using deep learning frameworks PyTorch and Tensorflow. Experience building scalable systems. Experience evaluating machine learning models. Experience with data visualization. Employer will accept any amount of experience with the required skills. 

Salary Range: $138,911/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.