Staff, Software Engineer (Machine Learning Engineer) | Pricing Team

Position Summary...

What you'll do...

**Immigration sponsorship is not available in this role.**

Walmart Global Tech is looking for a highly skilled Staff Machine Learning Engineer to join our team of data scientists and engineers. The ideal candidate will have experience in developing and maintaining machine learning models, as well as experience in working with large datasets. The primary responsibilities of this position will be to design, develop, and maintain software for various machine learning models and model pipelines using cloud technologies with Python, BigQuery and Spark. The candidate will also be responsible for working with data scientists to integrate machine learning innovations and algorithms into production systems.

Team is looking for a Staff MLE specializing in Pricing Algorithms to lead our efforts in developing sophisticated pricing models and strategies. As a Senior Data MLE, you will play a critical role in driving innovation and optimizing revenue through the application of advanced statistical and machine learning techniques. You will collaborate closely with cross-functional teams to develop and implement pricing algorithms that maximize profitability and drive business growth.

About Team:
Our Merchandise AI Team within Applied AI group is the driving force behind our retail and e-commerce success, leveraging cutting-edge AI and machine learning techniques to optimize every aspect of our merchandising strategy. With a diverse blend of expertise in statistical analysis, machine learning algorithms, and retail operations, our team pioneers innovative solutions across the merchandising lifecycle, from demand forecasting and assortment planning to pricing optimization. We're dedicated to building algorithms that empower stakeholders throughout the organization to make informed, data-driven decisions, ensuring that we stay ahead of the curve in an ever-evolving retail landscape. 

What you'll do:

• 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