Director, Data Science- Forecasting

Walmart, Inc.

$169K — $338K *
Consumer Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's/Master's in Statistics, Economics, Analytics, Mathematics, Computer Science, or related field with relevant experience
  • 6+ years in analytics or related field (or 4+ years with Master's, or 8+ years without degree)
  • Expertise in data science, machine learning, and algorithm optimization
  • Familiarity with Python, Spark, Scala, or R
  • Experience with open source frameworks such as scikit-learn, TensorFlow, or Torch
  • Leadership experience in managing data science teams
  • Knowledge of digital accessibility practices and WCAG standards.

Responsibilities

  • Lead and mentor a team of data scientists and engineers
  • Develop and execute strategies for machine learning and AI initiatives
  • Collaborate with cross-functional teams to identify strategic opportunities
  • Oversee entire data science lifecycle from scoping to monitoring
  • Innovate in forecasting by experimenting with new algorithms
  • Ensure ethical AI practices and robust model governance
  • Communicate technical insights to both technical and non-technical stakeholders.

Benefits

  • 401(k) match
  • Stock purchase plan
  • Paid maternity and parental leave
  • Generous PTO
  • Multiple health plan options
  • Performance-based incentive awards
  • Focus on employee wellness and work-life balance.
Full Job Description
Position Summary...

What you'll do...
We are seeking a talented and passionate Director, Data Science, you will lead a high-impact team responsible for driving ML initiatives across Walmart's global retail platforms. You will develop and execute data science strategies for forecasting and gen AI, ensuring Walmart delivers the right value to customers while maximizing business performance.

What you'll do:
As Director, Data Science, you will lead and develop a team that enables Walmart US in-store and e-commerce. This role is focused on people leadership and operational optimization-translating strategy into execution by aligning cross-functional partners, optimizing fulfillment network design decisions, and driving in-year initiatives.

What you'll bring:
  • Lead and grow a team of data scientists and data engineers dedicated to forecasting and gen AI initiatives.
  • Partner with product, engineering, merchandising, and business stakeholders to identify opportunities and align on strategic initiatives.
  • Oversee the end-to-end data science lifecycle: problem scoping, literature review, model design, algorithmic optimization, engineering integration, deployment, monitoring, and impact measurement.
  • Drive AI innovation in forecasting, including experimentation with new models and algorithms to improve accuracy and efficiency.
  • Ensure robust model governance, reproducibility, and ethical AI practices.
  • Communicate complex technical concepts and business impact effectively to technical and non-technical stakeholders, including senior leadership.
  • Communicate complex technical concepts to non-technical audiences and executive leadership.
  • Stay current with industry trends and emerging technologies in data science and AI.


Benefits:
Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field.
Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.
Option 3: 8 years' experience in an analytics or related field

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no 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, Supervisory experience, 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. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture.

Primary Location...

840 W California Ave, Sunnyvale, CA 94086-4828, United States of America

Similar Jobs

More Jobs at Walmart, Inc.

More Consumer Technology Jobs

Find similar Director, Data Science- Forecasting jobs: