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Senior, Data Scientist at Walmart Inc. Bentonville, AR

Job in Bentonville, Benton County, Arkansas, 72712, USA
Listing for: Walmart Inc.
Full Time position
Listed on 2026-05-20
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 90000 USD Yearly USD 90000.00 YEAR
Job Description & How to Apply Below

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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Position Requirements
10+ Years work experience
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