(USA) Staff, Data Scientist

Position Summary

As a full stack Staff Data Scientist for Walmart, you will be responsible for building scalable end-to-end data science solutions for our data products. You will own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management. You will also develop and maintain scalable MLOps infrastructure, such as building Kafka pipelines for unified logging and monitoring across multiple projects. You will apply SRE principles for ML workloads, optimize cloud deployments, monitor performance, and troubleshoot application latency or operational issues. You will lead code quality and engineering best practices by conducting code reviews and mentoring junior MLEs. You will lead code quality and engineering best practices by conducting code reviews and mentoring junior MLEs. You will enhance data feedback/annotation workflows to improve efficiency of our labeling team. You will demonstrate strong thought-leadership and consult with product and business stakeholders to build, scale, and deploy holistic machine learning solutions after successful prototyping. You will collaborate cross-functionally with stakeholders to align AI solutions with Walmart’s business objectives. You will build and deploy end-to-end models, balancing accuracy, computational efficiency, and business impact.

What you'll do

• Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management
• Develop and maintain scalable MLOps infrastructure, such as building Kafka pipeline for unified logging and monitoring across multiple projects
• Apply SRE (Site Reliability Engineering) principles for ML workloads, optimizing cloud deployments, monitoring performance and troubleshooting application latency or operational issues
• Lead code quality and engineering best practices by conducting code reviews and mentoring junior MLEs
• Enhance data feedback/annotation workflows to improve efficiency of our labeling team
• Demonstrate strong thought-leadership and consult with product and business stakeholders to build, scale, and deploy holistic machine learning solutions after successful prototyping
• Collaborate cross-functionally with stakeholders to align AI solutions with Walmart’s business objectives
• Build and deploy end-to-end models, balancing accuracy, computational efficiency, and business impact

About Walmart Global Tech

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity experts, and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions, and reimagine the future of retail.

Benefits

• Beyond our great compensation package, you can receive incentive awards for your performance.
• We offer a variety of financial benefits, including 401(k), stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
• We are an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas, and opinions – while being inclusive of all people.

Minimum Qualifications

• Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.
• Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field.
• 6 years' experience in an analytics or related field.

Preferred Qualifications

• Data science, machine learning, optimization models.
• PhD 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.