Position: Senior Data Scientist
Job Location: 1375 Crossman Avenue, Sunnyvale, CA 94089
Duties: Develop sophisticated modeling systems to drive innovative business solutions for Walmart eCommerce, especially in the areas of personalization, marketing, and recommendations. Design, implement, and deploy advanced statistical models and scale them for multiple tenants. Perform predictive modeling and quantitative analysis and apply statistical techniques. Build advanced statistical/analytical models to evaluate trends and significant data relationships. Utilize modern methods for parallelized processing of large, distributed datasets (e.g., Spark, Hadoop, MapReduce). Collaborate in a fast-moving cross functional environment with the ability to collaborate with other teams over common product goals. Communicate technical concepts to articulate ideas, architectural design and understanding, explainability of results, and present work at reputed conferences.
Minimum education and experience required: Master’s degree or the equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Engineering (any), or related field and 1 year of experience in an analytics related field; OR Bachelor’s degree or the equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Engineering (any), or related field and 3 years of experience in an analytics related field.
Skills required: Experience with machine learning techniques, including Regression, Classification, Ensemble Methods, and Deep Learning. Experience with development using Python and Bash Scripting. Experience designing and implementing end-to-end deep learning systems with PyTorch and Keras. Experience with big data processing and management using Hive and Spark. Experience with data visualization using Matplotlib and Seaborn. Experience with cloud platforms, including Google Cloud Platform (GCP) for cloud-based development and Kubernetes for container orchestration. Experience with version control and collaboration tools: GitHub and Jira. Experience analyzing and managing relational databases using SQL. Experience conducting research and publishing findings. Employer will accept any amount of graduate coursework, graduate research experience or professional experience with the required skills.
Salary Range: $144,402/year to $234,000/year. Additional compensation includes annual or quarterly performance 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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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.Skills Required
- Master's degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Engineering, or a related field, plus 1 year of analytics-related experience
- Bachelor's degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Engineering, or a related field, plus 3 years of analytics-related experience
- Experience with machine learning techniques, including regression, classification, ensemble methods, and deep learning
- Experience developing with Python and Bash scripting
- Experience designing and implementing end-to-end deep learning systems with PyTorch and Keras
- Experience with big data processing and management using Hive and Spark
- Experience with data visualization using Matplotlib and Seaborn
- Experience with cloud platforms, including Google Cloud Platform, and Kubernetes
- Experience with version control and collaboration tools, including GitHub and Jira
- Experience analyzing and managing relational databases using SQL
- Experience conducting research and publishing findings
Walmart Global Tech Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Walmart Global Tech and has not been reviewed or approved by Walmart Global Tech.
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Strong & Reliable Incentives — Compensation packages typically include base pay, performance bonuses, and stock awards, with access to an employee stock purchase plan. Feedback suggests annual bonus structures and stock grants are a consistent part of total compensation in many roles.
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Retirement Support — Retirement offerings include a company 401(k) match and stock purchase options that support long‑term savings. Feedback suggests these programs are a notable strength within the overall package.
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Parental & Family Support — Family benefits feature paid parental leave and adoption assistance, alongside tax‑advantaged accounts for healthcare spending. Feedback suggests these supports contribute meaningfully to perceived total rewards value.
Walmart Global Tech Insights
What We Do
Walmart has a long history of transforming retail and using technology to deliver innovations that improve how the world shops and empower our 2.2 million associates. It began with Sam Walton and continues today with Global Tech associates working together to power Walmart and lead the next retail disruption. We’re a high-performing, primarily virtual workforce that is human-led and tech-empowered. Our world-class software engineers, data scientists and engineers, cybersecurity professionals, product managers and business service professionals work with top talent on cutting-edge technologies that create unique and innovative experiences for our associates, customers and members across Walmart, Sam’s Club and Walmart International. At Walmart Global Tech, one line of code or bold idea can make life easier for hundreds of millions of people – talk about epic impact at a global scale.
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