Staff, Data Scientist

Position Summary

As a Staff Data Scientist for Walmart Global Tech, you’ll have the opportunity to design, develop, and deploy AI/ML, NLP, and LLM models into production environments with a focus on reliability and scalability. You’ll integrate data science solutions into current business processes, mentor peers and junior members, consult with business stakeholders, and engage and partner with universities, institutes, and vendor partners.

About Team

The Catalog Data Science Team at Walmart Global Tech focuses on using advanced technologies like generative AI, AI, machine learning, statistics, deep learning, computer vision, and optimization to enhance product catalog accuracy, completeness, and customer experience. The team works on complex challenges such as product classification, attribute extraction, trust & safety, and catalog optimization, leveraging Walmart’s vast dataset to innovate and improve retail operations.

What you'll do

• Design, develop, and deploy AI/ML, NLP, and LLM models into production environments with a focus on reliability and scalability.
• Develop efficient and scalable models at Walmart scale.
• Integrate data science solutions into current business processes.
• Mentor peers and junior members and handle multiple projects at the same time.
• Consult with business stakeholders across stores and e-commerce businesses regarding algorithm-based recommendations and be a thought-leader to develop these into business actions.
• Develop and recommend process standards and best practices in Machine Learning as applicable to the retail industry.
• Engage and partner with universities, institutes, and vendor partners to bring in ideas and innovation into the lab’s environment.
• Participate and speak at various external forums such as research conferences and technical summits.
• Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.

Qualifications

• PhD with >5 years of relevant experience / 4-year bachelor’s degree with > 9 years of experience / Master’s degree with > 6 years of experience.
• Preference given to educational qualifications in Computer Science or a strongly quantitative discipline.
• Demonstrated history of strong hands-on experience in AI/ML modelling, Deep-learning, Vision models, GenAI.
• Proven records of scientific publications or intellectual property generation.
• Past experience in solving complex business problems using Vision Models.
• Past experience in strong programming skills across data science, big data, and ML engineering stack.
• Strong communication skills with inclination to high ownership and commitment.
• Experience with production deployment of DS models via Spark, Kubernetes, Python.

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.

Pay

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.