Data Science Manager

Location: Sunnyvale, CA or Bentonville, AR (Hybrid role)

What you’ll do

Manage a team of data science and machine learning engineers to develop and deploy Egal AI applications supporting the Walmart finance department. Build models that solve specific business outcomes by training with massive amounts of Walmart data using open‑source or in‑house tools.

• Grow a team of domain experts of NLP, LLM, timeseries forecasting and recommendation systems in respective business domains in retail; e‑commerce.
• Drive execution of developing models and systems.
• Communicate, collaborate & build relationships with clients and peer teams to facilitate cross‑functional projects.
• Remain up to date on ongoing research and development activities in the team.
• Work with data scientists to design, architect, and build AI/ML/DL model and model systems.
• Work with machine learning engineers to deploy, operate, and optimize scalable solutions.

About the TeamAbout the Team

Our team works closely with our US stores and e‑commerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in‑store. Focus areas include customers, stores & employees, in‑store service, merchant tools, merchant data science,)' \his pitch-2-end line.

What you’ll bring

• Experience in NLP, LLM, timeseries, traditional ML techniques.
• Experience in data science and machine learning for retail; e‑commerce.
• Experience in managing a mid‑size internal team of data scientists and MLEs.
• Experience leading and completing cross‑functional projects.
• Strong organizational skills including prioritizing, scheduling, time management, and meeting deadlines.
• Strong influencing and interpersonal skills.
• Detail and results‑oriented with sense of urgency.

Regards

Vinay S

[email protected]

Seniority Level

• Mid‑Senior level

Employment Type

• Full‑time

Job Function

• Management and Information Technology

Industries

• IT Services and IT Consulting

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