Position: Staff Data Scientist
Job Location: 1375 Crossman Avenue, Sunnyvale, CA 94089
Duties: 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,ILog). Develop multiple custom data models to drive innovative business solutions. Translate business needs into data requirements. Collaborate with cross-functional partners across the business. Interpret data to identify trends to go across future data sets. Collaborate with project teams to implement data modeling solutions. Develop models of current state in order to determine improvements needed. Responsible for analyzing large data sets to develop multiple custom models and algorithms to drive innovative business solutions. Work on large project teams in order to provide analytical support and guidance to an assigned are on for large projects (for example, email targeting, business optimization, consumer recommendations) within Walmart eCommerce. Responsible for building large data sets from multiple sources in order to build algorithms for predicting future data characteristics. Those algorithms will be tested, validated, and applied to large data sets. Responsible for training the algorithms so they can be applied to future data sets and provide the appropriate search results. Responsible for researching new trends in the industry and utilizing up-to-date technology (for example, HBase, MapReduce, LAPack, Gurobi) and analytical skills to support their assigned project. Act as the subject matter experts for statistical analysis and modeling for their project team.
Minimum education and experience required: Master’s degree or equivalent in Statistics, Economics, Analytics (any), Mathematics, Computer Science, Information Technology or related field and 2 years of experience in analytics related field; OR Bachelor’s degree or equivalent in Statistics, Economics, Analytics (any), Mathematics, Computer Science, Information Technology or related field and 4 years of experience in analytics related field.
Skills required: Experience using SQL to extract the data and performing analysis on it. Experience using Python to build ML models and other complex analysis that cannot be done using SQL. Experience using Tableau to create dashboards to visually represent the trend of key metrics. Experience utilizing A/B testing methodologies to evaluate the impact of new product launches. Experience using basic calculations and quick adhoc analysis using MS Excel. Experience developing Machine Learning models to predict customer behavior and recommending optimized spending strategies. Experience performing ETL operations to create structured tables from raw unclean data sources. Experience utilizing Quasi-experimental techniques when A/B tests and not feasible to measure product launches. Experience defining KPIs including activation, retention, churn, and feature adoption. Experience identifying high-impact cohorts and tailor product strategies accordingly. Experience predicting product usage, growth, and impact of future launches. Employer will accept any amount of experience with the required skills.
Salary Range: $172,170/year to $286,000/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, or a related field
- 2 years of experience in an analytics-related field with a qualifying master's degree
- Bachelor's degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field
- 4 years of experience in an analytics-related field with a qualifying bachelor's degree
- Experience using SQL to extract and analyze data
- Experience using Python to build machine learning models and perform complex analysis
- Experience using Tableau to create dashboards
- Experience with A/B testing methodologies
- Experience using Microsoft Excel for calculations and ad hoc analysis
- Experience developing machine learning models to predict customer behavior and optimize spending strategies
- Experience performing ETL operations on raw data sources
- Experience with quasi-experimental techniques
- Experience defining KPIs such as activation, retention, churn, and feature adoption
- Experience identifying high-impact cohorts and tailoring product strategies
- Experience predicting product usage, growth, and future launch impact
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
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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.








