Walmart
Overview
Position Summary: Walmart Marketplace is seeking a Principal Scientist with a strong educational background in Data-Science, Mathematics, Statistics, or a related field. With at least 10+ years of industry experience (or 7+ years with a master’s degree), you will bring extensive knowledge of machine learning, data-science, and statistics to develop innovative products/solutions while applying causal learning and anomaly detection in the ecommerce domain. Team: Walmart’s Seller Fulfilled Services (SFS) team builds products that connect sellers across the world to buyers enabling access to over 350M+ items, and growing selection. Excellence in the end-to-end shipping and delivery experience is the cornerstone of our promise to our sellers and buyers. We use AI/ML-based products for delivery promise optimization and other touchpoints within the seller and customer journeys, creating a positive experience and impact. We are responsible for providing the best in-class marketplace experience for our sellers and customers through the design, development, and operations of highly scalable systems. This scientist role will be part of the business technology team and will play a key role working along with program managers, product managers, data scientists, engineers, and business stakeholders to build end-to-end machine learning based predictive products/solutions. What you’ll do: as a Principal Data Scientist, you’ll have the opportunity to participate in the following responsibilities. Responsibilities
Lead the development and deployment of machine learning models across Walmart’s Marketplace with a core focus on offerings fulfilled by sellers. Address large-scale data challenges, design innovative algorithms, and collaborate with cross-functional teams to drive measurable business outcomes. Lead the end-to-end lifecycle of AI/ML projects, from ideation to deployment, aligning with Walmart’s Marketplace strategic goals. Develop novel algorithms and leverage data science frameworks (e.g., TensorFlow, PyTorch, Sagemaker) to solve problems in promise optimization, abuse detection, return optimization, and other business areas. Drive data-derived insights across a wide range of retail challenges by developing advanced statistical models and computational algorithms. Direct data gathering, assess data validity, and synthesize data into large analytics datasets to support project goals. Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data; determine additional data needs to support insights. Build and train statistical models and machine learning algorithms ready for deployment. Monitor model performance and refine/tune parameters to achieve predefined outputs at scale. Communicate insights to business partners in reviews and influence future data-science roadmap. Collaborate with teams across business, product, and engineering to understand forward-looking roadmap and integrate data science solutions. Advocate for best practices in software development, including CI/CD, unit testing, and documentation to ensure robust and reliable systems. Mentor junior data scientists and contribute to building a culture of innovation and learning within Walmart’s data science community. What you’ll bring
Bachelor’s degree with 10+ years of experience or master’s degree with 7+ years of experience. Educational qualifications should be in Computer Science, Data Science, Industrial Engineering, Mathematics, Statistics, or a related field. Proven track record in designing and implementing AI/ML solutions for large-scale, high-performance systems. Proven track record of building and maintaining APIs for machine learning or data-driven applications. Hands-on experience building data-science, machine learning, or AI-based products/solutions. Experience in applying causal learning and anomaly detection in ecommerce domain. Experience in machine learning, including supervised, unsupervised, and deep learning. Ability to analyze complex problems and translate them into data science algorithms/solutions. Proficiency in Python with solid knowledge of data structures. Experience with big data analytics and platforms (e.g., PyTorch, TensorFlow, Hive, Spark). Experience with SQL and relational databases, data warehousing. Preferred Qualifications
Master’s or PhD in a related discipline. 5+ years’ experience in e-commerce, marketplace, or supply chain/operations optimization. Experience with neural networks, LLMs; AI is a plus. Hands-on experience in network optimization or distributed computing frameworks like Spark. Benefits and Additional Information
At Walmart, we offer competitive pay as well as performance-based bonuses and other benefits. Health benefits include medical, vision and dental; financial benefits include 401(k), stock purchase, and company-paid life insurance. Paid time off includes PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, and eligibility for education and accessibility programs. For information about PTO and eligibility, see One.Walmart and notices. The annual salary range for this position is $143,000.00-$286,000.00, with potential additional compensation through bonuses and stock. Primary Location: 840 W California Ave, Sunnyvale, CA 94086-4828, United States of America.
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Position Summary: Walmart Marketplace is seeking a Principal Scientist with a strong educational background in Data-Science, Mathematics, Statistics, or a related field. With at least 10+ years of industry experience (or 7+ years with a master’s degree), you will bring extensive knowledge of machine learning, data-science, and statistics to develop innovative products/solutions while applying causal learning and anomaly detection in the ecommerce domain. Team: Walmart’s Seller Fulfilled Services (SFS) team builds products that connect sellers across the world to buyers enabling access to over 350M+ items, and growing selection. Excellence in the end-to-end shipping and delivery experience is the cornerstone of our promise to our sellers and buyers. We use AI/ML-based products for delivery promise optimization and other touchpoints within the seller and customer journeys, creating a positive experience and impact. We are responsible for providing the best in-class marketplace experience for our sellers and customers through the design, development, and operations of highly scalable systems. This scientist role will be part of the business technology team and will play a key role working along with program managers, product managers, data scientists, engineers, and business stakeholders to build end-to-end machine learning based predictive products/solutions. What you’ll do: as a Principal Data Scientist, you’ll have the opportunity to participate in the following responsibilities. Responsibilities
Lead the development and deployment of machine learning models across Walmart’s Marketplace with a core focus on offerings fulfilled by sellers. Address large-scale data challenges, design innovative algorithms, and collaborate with cross-functional teams to drive measurable business outcomes. Lead the end-to-end lifecycle of AI/ML projects, from ideation to deployment, aligning with Walmart’s Marketplace strategic goals. Develop novel algorithms and leverage data science frameworks (e.g., TensorFlow, PyTorch, Sagemaker) to solve problems in promise optimization, abuse detection, return optimization, and other business areas. Drive data-derived insights across a wide range of retail challenges by developing advanced statistical models and computational algorithms. Direct data gathering, assess data validity, and synthesize data into large analytics datasets to support project goals. Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data; determine additional data needs to support insights. Build and train statistical models and machine learning algorithms ready for deployment. Monitor model performance and refine/tune parameters to achieve predefined outputs at scale. Communicate insights to business partners in reviews and influence future data-science roadmap. Collaborate with teams across business, product, and engineering to understand forward-looking roadmap and integrate data science solutions. Advocate for best practices in software development, including CI/CD, unit testing, and documentation to ensure robust and reliable systems. Mentor junior data scientists and contribute to building a culture of innovation and learning within Walmart’s data science community. What you’ll bring
Bachelor’s degree with 10+ years of experience or master’s degree with 7+ years of experience. Educational qualifications should be in Computer Science, Data Science, Industrial Engineering, Mathematics, Statistics, or a related field. Proven track record in designing and implementing AI/ML solutions for large-scale, high-performance systems. Proven track record of building and maintaining APIs for machine learning or data-driven applications. Hands-on experience building data-science, machine learning, or AI-based products/solutions. Experience in applying causal learning and anomaly detection in ecommerce domain. Experience in machine learning, including supervised, unsupervised, and deep learning. Ability to analyze complex problems and translate them into data science algorithms/solutions. Proficiency in Python with solid knowledge of data structures. Experience with big data analytics and platforms (e.g., PyTorch, TensorFlow, Hive, Spark). Experience with SQL and relational databases, data warehousing. Preferred Qualifications
Master’s or PhD in a related discipline. 5+ years’ experience in e-commerce, marketplace, or supply chain/operations optimization. Experience with neural networks, LLMs; AI is a plus. Hands-on experience in network optimization or distributed computing frameworks like Spark. Benefits and Additional Information
At Walmart, we offer competitive pay as well as performance-based bonuses and other benefits. Health benefits include medical, vision and dental; financial benefits include 401(k), stock purchase, and company-paid life insurance. Paid time off includes PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, and eligibility for education and accessibility programs. For information about PTO and eligibility, see One.Walmart and notices. The annual salary range for this position is $143,000.00-$286,000.00, with potential additional compensation through bonuses and stock. Primary Location: 840 W California Ave, Sunnyvale, CA 94086-4828, United States of America.
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