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

$117,000 - $234,000/Yr

Walmart - Bentonville, AR

Part-time,Full-time - Mid Level

Bentonville, AR

General Merchandise Retailers

About the position

Walmart Global Tech is seeking a highly skilled Senior Machine Learning Engineer to join our dynamic team of data scientists and engineers. This role is pivotal in developing and maintaining machine learning models, particularly focusing on sophisticated pricing algorithms that drive revenue optimization. The ideal candidate will have a strong background in machine learning, experience with large datasets, and a passion for leveraging technology to enhance business strategies. In this position, you will be responsible for designing, developing, and maintaining software for various machine learning models and model pipelines using cloud technologies, specifically with Python, BigQuery, and Spark. You will collaborate closely with data scientists to integrate machine learning innovations and algorithms into production systems, ensuring that our pricing strategies are data-driven and effective. As a Senior Machine Learning Engineer specializing in Pricing Algorithms, you will lead efforts in developing advanced pricing models and strategies that maximize profitability and drive business growth. The Merchandise AI Team, part of the Applied AI group, is at the forefront of our retail and e-commerce success. We utilize cutting-edge AI and machine learning techniques to optimize merchandising strategies, from demand forecasting and assortment planning to pricing optimization. Our team is dedicated to building algorithms that empower stakeholders to make informed, data-driven decisions, ensuring we remain competitive in a rapidly evolving retail landscape. Your role will involve leading the design and deployment of advanced pricing algorithms, conducting thorough code reviews, utilizing large datasets for in-depth analysis, overseeing model evaluation and optimization, and collaborating with cross-functional teams to translate business needs into effective pricing solutions. You will also be expected to stay updated on industry trends and provide thought leadership on pricing strategies and methodologies. Clear documentation and communication of methodologies and findings to non-technical stakeholders will be essential in this role.

Responsibilities

• Lead the design, development, and deployment of advanced pricing algorithms using machine learning techniques.
• Conduct thorough code reviews of pricing algorithms and related software components developed by the team.
• Utilize large datasets to conduct in-depth analysis of customer behavior, market dynamics, and competitive pricing strategies.
• Oversee the evaluation, validation, and optimization of pricing models to ensure accuracy and performance.
• Collaborate closely with cross-functional teams to understand business objectives and translate them into data-driven pricing solutions.
• Stay abreast of industry trends and provide thought leadership on pricing strategy and methodologies.
• Document methodologies, findings, and recommendations clearly and concisely.

Requirements

• Masters/PHD in Computer Science with 5+ years of experience as a Machine Learning Engineer.
• Experience with Data Science and Machine Learning, including Regression, Classification, Ensemble Methods, Deep Learning, and Reinforcement Learning.
• Strong implementation experience with at least one programming language (Python, Java, C++, etc.).
• Hands-on skills in data wrangling over massive datasets using distributed computing platforms.
• Strong written and oral communication skills.
• Experience in online advertising, recommender systems, search engines, e-commerce, or related areas.
• Experience with end-to-end modeling projects emerging from research efforts.

Nice-to-haves

• Knowledge of accessibility best practices and experience in creating inclusive digital experiences.
• Experience with implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards.

Benefits

• 401(k) match
• Stock purchase plan
• Paid maternity and parental leave
• PTO
• Multiple health plans
• Short-term and long-term disability
• Company discounts
• Adoption and surrogacy expense reimbursement
• Live Better U education benefit program for associates.