Data Science Manager

1 day ago Be among the first 25 applicants

Location:
Bentonville, AR/Sunnyvale, CA (5 Days onsite a week)

Must haves:

• GEN AI
• Prompting and Fine Tuning
• LLM, RAG, BERT, GPT
• Appropriate Leveling
  - Manager needs to have manager experience, principal needs to be the top person on the team, staff needs to have at least lead experience

What you’ll do...

Manage a team of data science and machine learning engineers to develop and deploy traditional data science and Gen AI applications supporting the Walmart finance department. Build models that solves specific business outcome by training with massive amount of Walmart data utilizing open-source or in-house tools.

• Grow a team of domain experts of NLP, LLM , Time series Forecasting and recommendation systems in respective business domains in retail ; e-commerce.
• Drive execution of developing models and systems
• Communicate, collaborate, and 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 Team: Our team works closely with our US stores and eCommerce 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 , through one of our mobile apps, or in-store.

Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.

What you’ll bring:

• Experience in NLP, LLM, Time series, 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

Mid-Senior level

Full-time

Information Technology

IT Services and IT Consulting

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