Senior Data Scientist
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Before you apply
Salary$169k – $234k
LocationSunnyvale, CA
Work modeon-site
Typefull-time
SenioritySenior
Experience1+ yrs
EquityIncluded
Company size10,000+ people
PostedOct 29, 2026 · 1w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
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
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
MySQL
Hadoop
Weka
R
Matlab
ILog
HBase
MapReduce
LAPack
Gurobi
Python
SQL
NoSQL
Spark
Hive
Ggplot
Matplotlib
Ploty
Tableau
PowerBI
NLTK
spaCy
Gensim
TensorFlow
PyTorch
Git
GitHub
Benefits
Health insurance
401(k)
Paid time off
Parental leave
Disability insurance
Education assistance
Life insurance
Stock purchase
What you’ll do…
About the role
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, Matlab, and ILog. 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, LAPack, Gurobi) and analytical skills to support assigned projects. Work with cross-functional partners across the business. Develop models of current state to determine needed improvements.
Requirements
Minimum education and experience required: Master’s degree or the 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 the 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 statistical methods and modeling techniques: Graphical Models, Bayesian Inference, Neural Networks, SVM, and Random Forest. Experience coding in object-oriented programming languages and statistical tools: Python and R. Experience with optimization techniques: Newton-Rapson Methods and Gradient Descent. Experience with numerical methods of optimization: Linear Programming, Integer Programming, and Quadratic Programming. Experience with database technologies and distributed datastores: SQL and NoSQL. Experience with big data technologies: Hadoop, Spark, and Hive. Experience with data visualization tools: Ggplot, Matplotlib, Ploty, Tableau, and PowerBI. Experience with data ecosystem application including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage, and Scalability. Experience with Natural Language Processing (NLP) tasks, including text classification and sentiment analysis, and using NLTK, spaCy, and Gensim. Experience with Vector Databases and designing, implementing, and managing vector databases. Experience with vector similarity search and indexing. Experience with machine learning algorithms, neural networks, and deep learning frameworks: TensorFlow and PyTorch. Experience using Git for code versioning, including managing repositories, branching and merging, and collaborating via platform: GitHub. Experience designing and implementing CI/CD pipelines, enabling automated testing, integration, and deployment of code to ensure rapid, reliable, and streamlined software releases. Experience with model evaluation and data drift detection. Employer will accept any amount of graduate coursework, graduate research experience or professional experience with the required skills.
Salary Range: $168,917/year to $234,000/year. Additional compensation includes annual or quarterly performance incentives.
Benefits
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.
Legal
Wal-Mart is an Equal Opportunity Employer.
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.
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