Distinguished, Data Scientist

Position Summary

As a Distinguished Data Scientist in the Marketplace data sciences team, you'll have the opportunity to drive strategic solutions, develop advanced statistical and machine learning models, and influence the organizational strategy around Marketplace using cutting‑edge AI and ML technologies.

• Drive innovative strategic solutions for Marketplace utilizing advanced state‑of‑the‑art AI and ML solutions at large scale and at an accelerated pace.
• Drive data‑derived insights by developing advanced statistical models, machine learning algorithms, and computational algorithms based on business initiatives.
• Work closely with Directors, Senior Managers of Data Science, and leaders of Architecture, Engineering, Product & business teams to drive the organizational strategy around Marketplace.
• Direct the gathering of data, assess data validity, and synthesize data into large analytics datasets to support project goals.
• Mentor and guide a set of Data Scientists and Data Analysts across IDC and the US to drive Marketplace growth and operation efficiency using advanced Machine Learning and Gen AI.
• Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data and determine additional data needed to support insights.
• Build and train AI/ML models for replication for future projects.
• Deploy and maintain the data science solutions.
• Communicate recommendations to business partners and influence future plans based on insights.
• Consult with product/business stakeholders on algorithmic recommendations and translate insights into actions.
• Lead and mentor domain data science teams to deliver ML products on time.
• Collaborate cross‑functionally to drive end‑to‑end content improvement.
• Research and develop innovative content‑improvement solutions leveraging multilingual and multimodal foundation models.
• Identify complex business opportunities solvable with advanced ML/Computer Vision; evaluate and prioritize business cases.
• Define success criteria, deliverables, and KPIs; quantify and track business impact of ML products.
• Establish model evaluation/testing standards and documentation; guide deployment via MLOps best practices.
• Communicate recommendations, influence partners globally, and drive innovation while upholding company values and ethics.

• Bachelor's, Master’s, or Ph.D. in Computer Science, Statistics, Mathematics or a related field, with relevant experience (minimum years vary as noted). For example:
  Bachelor’s degree with >20 years of experience;
  Master’s with >17 years;
  Ph.D. with >14 years of relevant experience.
• Experience acting as a tech lead for >10 years.
• Option 1:
  Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years’ experience in an analytics related field.
• Option 2:
  Master’s degree in the same fields and 4 years’ experience in an analytics related field.
• Option 3: 8 years’ experience in an analytics or related field.

• Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics.
• Publications or active peer reviewer in related journals or conferences.
• Successful completion of one or more assessments in Python, Spark, Scala, or R.
• Experience with open source frameworks such as scikit‑learn, Tensor Flow, PyTorch.
• Background in creating inclusive digital experiences, knowledge of implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility.

• 401(k) match, stock purchase plan.
• Paid maternity and parental leave.
• Paid time off (PTO) and vacation.
• Multiple health plans (medical, vision, dental).
• Live Better U (education benefit program).
• Career development programs such as Walmart Academy.
• Other perks including discounted products and workplace benefits.

Walmart, Inc. is 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 welcoming of all people.

Primary

Location:

10900 Ne 4th St, Bellevue, WA 98004, United States of America. Walmart and its subsidiaries are committed to maintaining a drug‑free workplace and have a no‑tolerance policy regarding the use of illegal drugs and alcohol on the job.