Senior, Data Scientist; Pricing

About the Role

If you are a seasoned Data Scientist with a proven track record of driving business impact through data‑driven insights and a strong background in leading Deep Learning & Operations Research projects, this role is for you. We are looking to hire a candidate that holds a Ph.D. or Masters in Data Science and has strong industry experience solving deep learning, reinforcement learning and optimization problems.

The candidate will build complex, cutting‑edge, scalable algorithms for optimization initiatives in the Pricing domain and will provide transparency on algorithmic recommendations that drive adoption and revenue impact.

Immigration sponsorship is not available for this role. Applicants must be authorized to work for any employer in the United States without current or future visa sponsorship.

The Applied AI team researches and develops algorithms that power areas like supply chain, pricing, assortment optimization, replenishment, store layout, and more. You will work closely with other data scientists, machine learning engineers, operations research scientists, data analysts, and collaborate with business teams, product managers, corporate strategists, software engineers, and data engineers. Our work uses forecasting, operations research, classical machine learning, deep learning, reinforcement learning, causal inference, and statistics, and is published in top‑tier conferences and journals.

• Develop cutting‑edge price elasticity and price recommendation algorithms.
• Develop efficient models scalable to hundreds of categories, thousands of stores at Walmart.
• Provide transparency on algorithmic recommendations that drive adoption and revenue impact.
• Prepare accurate data so models can efficiently learn signals and eliminate noise.
• Prepare thorough documentation of the developed frameworks.

• Sound knowledge of Python, SQL, PySpark, machine learning libraries, and big‑data processing systems in a cloud environment.
• Hands‑on experience building optimization/reinforcement learning models for multiple objectives.
• Hold an MS or Ph.D. in a relevant technical degree (Computer Science, Machine Learning, Operations Research, Applied Mathematics, Statistics, Engineering, etc.) with 4+ years of relevant work experience.
• A track record of building ML models or delivering impactful customer‑facing products.
• A track record of training and deploying vision models at scale (millions of classes, high‑variance datasets).
• A business‑analytical mind with the ability to communicate with model consumers and present results intuitively.
• Experience analyzing data to identify patterns and conduct error/deviation analysis; passion for fixing data issues and finding optimal representations.
• Ability to take a project from scoping requirements through actual launch.
• A continuous drive to explore, improve, enhance, automate, and optimize models and products.
• Excellent oral and written communication skills.

• Pricing background is strongly preferred.

• 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 year’s experience in an analytics‑related field.
• Option 3 – 5 years’ experience in an analytics or related field.

• Data science, machine learning, and optimization model experience.
• Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics.
• Successful completion of assessments in Python, Spark, Scala, or R.
• Experience with open‑source frameworks (e.g., scikit‑learn, Tensor Flow, PyTorch).
• Knowledge of accessibility best practices; implementing WCAG 2.2 AA standards; assistive technology integration.
• Experience creating inclusive digital experiences.

Beyond our great compensation package, you can receive incentive…