Position Summary...What you'll do...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. This is a full-time onsite role based in Bentonville, AR or Sunnyvale, CA; remote and hybrid options are not available. About the Role:Walmart Global Tech is seeking a talented and experienced Principal Data Scientist specializing in Pricing Algorithms to lead our efforts in developing sophisticated pricing models and strategies. As a Principal Data Scientist, you will play a critical role in driving innovation and optimizing revenue through the application of advanced statistical and machine learning techniques. You will lead a team of data scientists and collaborate closely with cross-functional teams to develop and implement pricing algorithms that maximize profitability and drive business growth.
About the Team: The Applied AI team researches and develops advanced algorithms that power strategic decision-making across pricing, markdown optimization, price recommendations, price elasticity, assortment optimization, supply chain, replenishment, and store layout. You will work closely with data scientists, machine learning engineers, operations research scientists, and data analysts, while collaborating with business leaders, product managers, pricing strategists, software engineers, and data engineers to build AI-driven solutions at enterprise scale.
Our work combines techniques from forecasting, optimization, operations research, machine learning (classical ML, deep learning, reinforcement learning), causal inference, experimentation, and statistics to solve complex pricing and retail challenges. We develop innovative AI solutions that directly influence business strategy and customer experience, and our research is regularly published in top-tier conferences and journals.
What You'll Do: - Strategic Leadership: Provide strategic leadership and technical expertise in the development and implementation of pricing algorithms and models. Define the vision, roadmap, and priorities for pricing optimization initiatives.
- Algorithm Development: Lead the design, development, and deployment of advanced pricing algorithms using state-of-the-art machine learning techniques, including but not limited to regression analysis, demand forecasting, dynamic pricing, and reinforcement learning.
- Code Review: Conduct thorough code reviews of pricing algorithms and related software components developed by the team. Ensure adherence to best practices, coding standards, and optimization techniques. Provide constructive feedback and mentorship to team members to enhance code quality and maintainability.
- Data Analysis and Insights: Utilize large datasets to conduct in-depth analysis of customer behavior, market dynamics, and competitive pricing strategies. Extract actionable insights to inform pricing decisions and strategy formulation.
- Model Evaluation and Optimization: Oversee the evaluation, validation, and optimization of pricing models to ensure accuracy, reliability, and performance. Implement rigorous testing methodologies to assess model effectiveness and robustness.
- Collaboration and Stakeholder Engagement: Collaborate closely with cross-functional teams including product management, engineering, marketing, and finance to understand business objectives, requirements, and constraints. Work collaboratively to translate business needs into data-driven pricing solutions.
- Thought Leadership: Stay abreast of industry trends, best practices, and emerging technologies in pricing analytics, data science, and machine learning. Provide thought leadership and guidance on pricing strategy, methodologies, and implementation best practices.
- Documentation and Communication: Document methodologies, findings, and recommendations in clear and concise manner. Communicate complex technical concepts and insights to non-technical stakeholders through presentations, reports, and dashboards.
- Mentorship and Knowledge Sharing: Mentor junior team members and provide guidance on technical and methodological aspects of pricing analytics and data science. Foster a culture of learning and knowledge sharing within the team.
What You'll Bring: - Ph.D. or equivalent advanced degree in Computer Science, Statistics, Mathematics, Economics, or related field.
- Extensive experience (8+ years) in data science, machine learning, and statistical analysis, with a focus on pricing optimization.
- Proven track record of building and deploying pricing algorithms/models in a real-world setting.
- Expertise in programming languages such as Python, R, or Scala for data analysis and model development.
- Strong understanding of pricing concepts, methodologies, and strategies in diverse industries.
- Deep knowledge of machine learning algorithms and techniques, with hands-on experience in applying them to pricing problems.
- Excellent communication and leadership skills with the ability to influence and inspire cross-functional teams.
- Demonstrated ability to drive projects from conception to completion in a fast-paced, dynamic environment.
Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
Bentonville, Arkansas US-09104: The annual salary range for this position is $110,000.00 - $220,000.00
Sunnyvale, California US-11656: The annual salary range for this position is $143,000.00 - $286,000.00
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 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field
Preferred 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, Publications or active peer reviewer in related journals or conference, 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.
Primary Location...2608 Se J St, Bentonville, AR 72712, United States of America
