Strategic Data Scientist Lead, Market Intelligence

Walmart

San Bruno (CA)

On-site

USD 143,000 - 286,000

Full time

44 hours ago
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Job summary

Walmart is seeking a Principal Data Scientist, Market Intelligence in San Bruno, CA to shape competitive strategy through advanced analytics and AI innovations. You’ll work with executive leadership to build scalable data products influencing enterprise decisions and identifying growth opportunities in retail markets.

You will analyze large datasets, develop ML models, and deliver insights to both technical and non-technical stakeholders while mentoring teammates and ensuring governance and

Qualifications

  • Master's degree or PhD in a relevant analytical field; 3+ years post-grad experience (or 2+ with PhD)
  • Strong proficiency in Python and SQL required
  • Hands-on experience building AI/LLM-powered agents and governance/guardrails

Responsibilities

  • Analyze large and complex datasets to identify trends, patterns and insights to measure performance against competition and inform decisions
  • Research, create and implement advanced statistical models and ML algorithms on structured and unstructured data to support decision making
  • Build scalable AI- and LLM-powered data products for business partners at enterprise scale
  • Communicate findings through reports, visuals, and presentations to technical and non-technical stakeholders
  • Guide and mentor junior data scientist team members

Skills

Python
SQL
Data Engineering
AI/LLM-powered Agents
Mentoring

Education

Master's in Data Science, CS, Statistics, or related field
PhD in related field (optional with 2+ years)
Bachelor's + 5 years analytics experience

Job description

Walmart is seeking a Principal Data Scientist, Market Intelligence in San Bruno, CA to shape competitive strategy through advanced analytics and AI innovations. You’ll work with executive leadership to build scalable data products influencing enterprise decisions and identifying growth opportunities in retail markets.

You will analyze large datasets, develop ML models, and deliver insights to both technical and non-technical stakeholders while mentoring teammates and ensuring governance and

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