Senior, Data Scientist at Walmart Inc. Bentonville, AR
Listed on 2026-05-20
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IT/Tech
Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
What you’ll do at Position Summary... What you’ll do...
Job Summary:
As a Senior Data Scientist, you will develop, deploy, and optimize data-driven solutions to address Walmart’s operational and strategic needs.
You will work with large-scale datasets, implement machine learning models, and collaborate with cross‑functional teams to deliver robust, scalable, and efficient APIs and data systems.
Key Responsibilities:
- Design, develop, and deploy machine learning models and algorithms to address key business challenges, including supply chain optimization, customer personalization, and operational efficiency.
- Implement scalable data pipelines using PySpark and other big data tools to process and analyze large-scale datasets.
- Build and maintain APIs for deploying machine learning models and integrating with business systems.
- Collaborate with engineering teams to implement CI/CD pipelines, ensuring efficient and reliable deployment.
- Optimize and maintain workflows for data processing and model training, focusing on performance, scalability, and reliability.
- Apply best practices in software development, including code versioning, testing, and documentation.
- Work closely with stakeholders to translate business needs into data‑driven solutions and actionable insights.
Key
Qualifications:
- Bachelor’s degree in computer science, Data Science, or a related field; advanced degrees are a plus.
- 4+ years of experience in data science, machine learning, or related fields.
- Proficiency in Python and experience with libraries such as Num Py, Pandas, Scikit‑learn, Tensor Flow, or PyTorch.
- Hands‑on experience with big data tools and frameworks, including PySpark.
- Proven track record of building and maintaining APIs for machine learning or data‑driven applications.
- Knowledge of CI/CD pipelines and experience implementing automated workflows for model deployment.
- Strong understanding of data pipelines, ETL processes, and scalable data handling techniques.
- Excellent communication skills and a collaborative mindset.
Preferred
Skills:
- Experience with optimization, operations research, computer vision, and recommender systems.
- Familiarity with distributed systems and parallel computing for performance optimization.
- Background in applying statistical methods to real‑world business problems.
Benefits:
- Competitive pay and performance‑based bonus awards.
- Health benefits:
medical, vision and dental coverage. - Financial benefits:
401(k), stock purchase plan, and company‑paid life insurance. - Paid time off: PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, voting, short‑term and long‑term disability.
- Additional benefits: company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement.
Additional compensation includes annual or quarterly performance bonuses. Stock compensation may also be included for certain positions.
Minimum Qualifications:
- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years’ experience in an analytics related field.
- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 year’s experience in an analytics related field.
- 5 years’ experience in an analytics or related field.
Preferred Qualifications:
- 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.
- Experience with open source frameworks such as Scikit‑Learn, Tensor Flow, Torch.
- Background in creating inclusive digital experiences, knowledge of Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
Primary
Location:
805 Se Moberly Ln, Bentonville, AR 72712, United States of America
Annual Salary Range: $90,000.00 - $
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