Senior, Data Scientist (Pricing)

Walmart • Bentonville, AR

3d • $90,000 - $234,000 • Onsite

About The Position

We are looking to hire 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 related projects. This role involves building complex, cutting-edge, and scalable algorithms for optimization-related initiatives in the Pricing domain. The candidate will also be responsible for providing transparency on algorithmic recommendations that drive adoption and revenue impact. The Applied AI team researches and develops algorithms that power areas like supply chain, pricing, assortment optimization, replenishment, store layout, etc. You will be working closely with other data scientists, machine learning engineers, operations research scientists and data analysts within the team, as well as collaborating with business teams, product managers, corporate strategists, software engineers and data engineers. We utilize various techniques primarily from forecasting, operations research, and often employ techniques from machine learning (classical machine learning, deep learning, reinforcement learning), causal inference, and statistics. Our work is innovative and is published in top-tier conferences and journals.

Requirements

• Sound knowledge of Python, SQL, PySpark, Machine Learning libraries, Big Data processing systems in a cloud environment is expected
• Hands-on experience with building Optimization/Reinforcement Learning models for multiple objectives
• Holds an MS/PhD in a relevant technical degree (preferably 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 consumers of the model and present results in intuitive ways
• Experience analyzing data to identify patterns and conducting error/deviation analysis; passion for fixing issues in the data and finding the optimal representation
• 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
• 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 years' experience in an analytics related field.
• 5 years' experience in an analytics or related field.

Nice To Haves

• Pricing background is strongly preferred
• Ph.D or Masters degree in Data Science strongly preferred
• Professional experience working with reinforcement learning models
• 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)
• 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.

Responsibilities

• 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 for the models to efficiently learn signals and eliminate noise
• Prepare thorough documentation of the developed frameworks

Benefits

• Incentive awards for performance
• 401(k) match
• Stock purchase plan
• Paid maternity and parental leave
• PTO
• Multiple health plans
• Competitive pay
• Performance-based bonus awards
• Medical coverage
• Vision coverage
• Dental coverage
• 401(k)
• Company-paid life insurance
• Paid time off (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, covering programs from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior