(USA) Staff, Data Scientist

Walmart, Inc.

$143K — $286K *
US-AnywhereRemote in Sunnyvale, CA
Consumer Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Ph.D. or equivalent advanced degree in relevant fields.
  • Extensive experience in machine learning, reinforcement learning, GenAI, and LLMs.
  • 5+ years deploying machine learning models in high-scale production environments.
  • Strong programming skills in Python, Java, C, or C++.
  • Experience with large-scale data systems (Spark/Hive) and cloud computing (GCP/Azure).
  • Proven ability to drive projects from conception to production in dynamic settings.
  • Excellent communication and leadership skills for cross-functional influence.

Responsibilities

  • Lead a team of applied scientists in AI-driven innovations.
  • Research and implement cutting-edge machine learning techniques.
  • Collaborate cross-functionally to align AI solutions with business goals.
  • Design and optimize machine learning pipelines for scalability and efficiency.
  • Build and deploy end-to-end models with measurable business impact.
  • Explore and integrate advancements in AI for competitive delivery solutions.

Benefits

  • Performance-based incentive awards.
  • 401(k) match and stock purchase plan.
  • Paid maternity and parental leave.
  • Comprehensive health plans including medical, vision, and dental.
  • Paid time off including vacation, sick leave, and family care.
  • Live Better U education benefits fully covered by Walmart.
  • Multiple types of leave including bereavement and jury duty.
Full Job Description
Position Summary...

What you'll do...
Role summary:

As a Staff Data Scientist, you will be at the forefront of AI innovation, developing machine learning and reinforcement learning models for driver search and matching. You will be leading a team of Applied Scientist to design, train, evaluate, deploy, and monitor production models. You will collaborate closely with business, product, and engineering teams to ensure AI objectives align with Walmart's business goals. Your work will directly improve driver experience, operational efficiency, and delivery reliability, driving measurable business impact.

About the team:

Spark Driver Platform operates across all 50 U.S. states, empowering millions of drivers to provide local delivery and making it Walmart's largest local delivery service provider. The Spark Driver Applied AI team advances machine learning, deep learning, Reinforcement Learning models, and LLM to improve platform efficiency and profitability. We build highly reliable and scalable production systems that drive the growth of the Spark Driver Platform. Our key focus areas include Capacity Planning, Driver Search, Driver Matching, Driver Offer Pricing, Driver Surge Pricing, Incentive Strategy, ETA Prediction, and Trust Safety.

What you'll do:
  • Lead a team of applied scientists in developing innovative AI-driven solutions.
  • Research and implement state-of-the-art machine learning techniques, including reinforcement learning and deep learning.
  • Collaborate cross-functionally with business, product, and engineering stakeholders to ensure AI solutions align with Walmart's strategic objectives.
  • Design and optimize machine learning pipelines to ensure scalability, efficiency, and real-time processing capabilities.
  • Build and deploy end-to-end models, balancing accuracy, computational efficiency, and measurable business impact.
  • Explore and integrate the latest advancements in AI, ensuring Walmart remains at the forefront of AI-driven delivery solutions.


What you'll bring:
  • Ph.D. or equivalent advanced degree in Computer Science, Statistics, Operations Research, Economics, or a related field.
  • Extensive experience in machine learning, reinforcement learning, GenAI, and LLMs.
  • 5+ Years of experience of deploying ML models in production, preferably in high-scale environments.
  • Strong programming skills in Python, Java, C, or C++.
  • Experience with large-scale data systems (Spark/Hive) and cloud computing (GCP/Azure).
  • Demonstrated ability to drive projects from conception to production in a fast-paced, dynamic environment.
  • Excellent communication and leadership skills, with the ability to influence and inspire cross-functional teams.


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.

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.

For information about PTO, see https://one.walmart.com/notices.

Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.

For information about benefits and eligibility, see One.Walmart.

The annual salary range for this position is $143,000.00 - $286,000.00

Additional compensation includes annual or quarterly performance bonuses.

Additional compensation for certain positions may also include :

- Stock








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

1375 Crossman Ave, Sunnyvale, CA 94089-1114, United States of America

Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

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