--- title: Senior Data Scientist at Walmart in Sunnyvale, CA description: Walmart is hiring for the Senior Data Scientist role in Sunnyvale, CA. Pays $168.9K–$234K per year. See the full description and apply. type: job url: https://www.foundrole.com/jobs/senior-data-scientist-at-walmart-inc-01a0dd19-6cfd-7502-bf0a-0b0f7fdf0860 date: 2026-09-28T21:14:36Z og_description: Join Walmart as Senior Data Scientist in Sunnyvale, CA. Pays $168.9K–$234K per year. Full-time role. Requires 1+ year of experience. og_image: https://www.foundrole.com/og/btk9px.png breadcrumbs: - label: Home url: https://www.foundrole.com/ - label: Search url: https://www.foundrole.com/jobs --- | | | |---|---| | **Company** | [Walmart](https://www.foundrole.com/companies/walmart?utm_source=ai_markdown) | | **Location** | Sunnyvale, CA | | **Salary** | $168.9K/yr - $234K/yr | | **Type** | Full Time | | **Posted** | Sep 23, 2026 | ## Description **Position:** Senior Data Scientist **Job Location:** 1375 Crossman Avenue, Sunnyvale, CA 94089 **Duties:** 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, and Matlab. 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, MapReduce) and analytical skills to support assigned projects. Work with cross-functional partners across the business. Develop models of current state to determine needed improvements. **Minimum education and experience required:** Bachelor’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Engineering (any), or related field and 3 years of experience in an analytics or related field; **OR** Master’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Engineering (any), or related field and 1 year of experience in an analytics or related field. **Skills required:** Experience using SQL and Python to query, clean, and analyze large-scale structured and unstructured data across cloud data warehouses and distributed systems (BigQuery and Hive on GCP) to drive product and user insights. Experience designing, conducting, and analyzing A/B experiments using statistical modeling and hypothesis testing. Experience evaluating product and user outcomes using statistical methodologies, including regression-based and quasi-experimental analyses (t-test, ANOVA, pre/post, and difference-in-differences). Experience developing and validating machine learning models in Python to predict user behavior and conversion propensity, including feature engineering and standard model evaluation practices. Experience automating and maintaining analytics datasets and data pipelines using SQL/Python to generate aggregate views and support Business Intelligence tools. Experience using data visualization tools, including Tableau, PowerBI, and Looker, to represent product and business metrics. Experience identifying key business metrics and design measurement plans for A/B experiments. **Employer will accept any amount of experience with the required skills.** **Salary Range:** $168,917/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. #LI-DNI #LI-DNP ## Skills - Feature Engineering - Data Models - Analytics - Hypothesis Testing - Information Technology - Statistical Modeling - MapReduce - Data Visualization - Apache HBase - Analytical Skills - Google Looker Analytics - Python - Statistical Analysis - T-Test - Algorithms - Model Evaluation (Machine Learning) - Tableau (Business Intelligence Software) - SQL - E-Commerce - MySQL - Statistics - User Behavior Analysis - MATLAB - Regression Analysis - Apache Hive - Computer Vision - Mathematics - Unstructured Data - Apache Hadoop - Weka - Google Cloud Platform (Gcp) - Business Intelligence - Computer Science - Data Analysis - Machine Learning - BigQuery - Data Pipeline - Power BI - Business Metrics - Analysis Of Variance (Anova) - Distributed Systems - Data Warehousing ## Benefits - Financial Aid/Assistance - Health Insurance - Dental Insurance - Vision Insurance - Disability Insurance - Life Insurance - Parental Leave - Paid Time Off (Pto) - Sick Leave - 401(k) Plans ## How to Apply [Apply for this position](https://www.foundrole.com/jobs/senior-data-scientist-at-walmart-inc-01a0dd19-6cfd-7502-bf0a-0b0f7fdf0860?utm_source=ai_markdown) ## Related - [More jobs at Walmart](https://www.foundrole.com/companies/walmart?utm_source=ai_markdown) - [Browse all companies](https://www.foundrole.com/companies?utm_source=ai_markdown)