Senior, Data Scientist
Walmart•Sunnyvale, CA
•Onsite
About The Position
We are looking for a data-savvy, business-oriented professional to join our team. This role involves translating business challenges into data-driven solutions and building scalable analytics products. This is a high-impact role for someone who enjoys solving business problems through data and building robust analytics solutions. If that sounds like you, we’d love to connect!
Requirements
- Option 1- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field.
- Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field.
- Option 3 - 5 years' experience in an analytics or related field.
- Strong understanding of machine learning fundamentals, especially classification and regression
- Coding and Testing: Write and test code in Python, SQL, R, or similar languages
- Use appropriate testing methods
Nice To Haves
- Model Deployment to production
- Data science, machine learning, optimization models
- Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics
- Successful completion of one or more assessments in Python, Spark, Scala, or R
- Using open source frameworks (for example, scikit learn, tensorflow, torch)
- Background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
- Knowledge of accessibility best practices
Responsibilities
- Translate business problems into analytical solutions
- Apply suitable tools and methodologies
- Communicate insights and recommendations clearly
- Understand business domains, data requirements, and key processes
- Identify and extract suitable data sources (SQL, NoSQL)
- Perform data quality checks and ensure data is fit for purpose
- Apply data governance, management, and quality standards
- Ensure data accessibility, scalability, and relevance for decision-making
- Build and evaluate models using logistic regression, decision trees, random forest, GBM, and other tree-based techniques
- Apply forecasting methods to predict future business outcomes
- Conduct exploratory data analysis and feature selection
- Design and analyze experiments; provide actionable insights
- Deploy models to production (Good to have); ensure scalability and sustainability
- Evaluate models using ROC, RMSE, Chi-square, etc.
- Write and test code in Python, SQL, R, or similar languages
- Use appropriate testing methods
- Create dashboards and visualizations using tools like Tableau, PowerBI, Looker
- Present insights effectively to technical and non-technical audiences
Benefits
- Competitive pay
- Performance-based bonus awards
- Medical coverage
- Vision coverage
- Dental coverage
- 401(k)
- Stock purchase
- Company-paid life insurance
- PTO (including sick leave)
- Parental leave
- Family care leave
- Bereavement
- Jury duty
- Voting leave
- Short-term disability
- Long-term disability
- Company discounts
- Military Leave Pay
- Adoption and surrogacy expense reimbursement
- PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes
- Walmart-paid education benefit program (Live Better U) for full-time and part-time associates
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What This Job Offers
Job Type
Full-time
Career Level
Senior
