Staff, Data Scientist
Walmart
Data Science
Bentonville, AR, USA
USD 110k-220k / year + Equity
Posted on May 11, 2026
Position Summary...
What you'll do...
About Decision Sciences The Decision Sciences team provides comprehensive analytical solutions, empowering our business customers to make data-driven decisions in areas such as Supply Chain, Store Operation, Last Mile Delivery, and Innovation & Transformation. We offer measurable value to all stakeholders by delivering accurate and actionable insights that stimulate growth, enhance efficiency, and guide strategic planning. We are dedicated to staying at the cutting edge of data & technology, constantly offering innovative solutions that enhance the experience for both associates and customers. We are looking for a Staff Data Scientist to join Decision Sciences team. As a Staff Data Scientist, you will be responsible for modeling complex business problems and discovering insights through machine learning, statistical modeling, simulation, and optimization that empower our customers across Walmart to make data-driven decisions. You will drive data science partnership across US, Costa Rica, and India locations. You will be tasked to set goals, create a strategy, and closely collaborate with Data Analytics, Data Engineering, Data Governance teams and business stakeholders to deliver best-in-class analytical tools and solutions. What You’ll Do- Model Development: Applying sophisticated data science and advanced analytics models such as machine learning, statistical modeling, simulation, and optimization to produce valuable insights that guide decision-making and enhance business outcomes.
- Designing and implementing causal inference frameworks to measure the true impact of business changes and inform decision-making.
- Data Engineering: Collaborating with data engineers to preprocess, clean, and structure data for model training and evaluation. Ensuring data pipelines are optimized for efficiency and accuracy.
- Machine Learning Operations (MLOps): Deploying and maintaining machine learning models in production environments, ensuring reliability and scalability.
- Collaboration: Working closely with data scientists, data engineers, software engineers, product, and business stakeholders to understand requirements and translate them into technical solutions.
- Communication: Engaging in effective communication with business stakeholders regarding model insights and the strategic importance of advanced analytics.
- Mentorship: Guiding and mentoring junior associates on story types, structures, and techniques based on context.
- 5+ years of experience in utilizing advanced analytics to solve business problems, with a focus on understanding causal relationships
- Demonstrated expertise in developing advanced data science models and leading data-driven projects from conception to implementation, driving and influencing project roadmaps.
- Strong ability to translate business problems into causal frameworks and estimate impact
- Proficient coding in one or more languages: Java, C++, Python, Spark, Scala, or R
- Strong proficiency in SQL for data manipulation and querying.
- Proficient with data warehouse like BigQuery and cloud platforms (GCP, Azure).
- Experience in MLOps and deploying/managing machine learning models.
- Exceptional analytical and problem-solving skills, with the ability to think strategically and innovatively.
- Excellent verbal and written communication skills, with the ability to present complex technical concepts to diverse audiences.
- Track record of successfully interacting with business stakeholders and driving productive conversations.
- Experience mentoring junior operations research or machine learning scientists.
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.
The annual salary range for this position is $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock
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Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related fieldPreferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, machine learning, optimization models, PhD 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), We value candidates with a 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. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.