Data Science Machine Learning Jobs in Santa Clara, CA

As an Applied Scientist, you will collaborate with business, product, and backend engineering teams to drive high-impact projects for Driver Matching and Personalization System. The machine learning solution in these domains vary from deep learning models, reinforcement learning models, recommendation systems, and causal ML models. You will play a critical role in driving innovation and optimizing revenue through the application of advanced statistical and machine learning techniques. The impact of this role is extremely high and directly contributes to reducing fraud/defects, enhancing efficiency, improving delivery reliability, and ensuring driver experience.

The Spark Driver Platform operates nationwide, supporting millions of drivers to deliver local services efficiently. The Spark Driver Applied AI team focuses on advancing machine learning, data science, and economic models to enhance platform efficiency and profitability. The team develops scalable, reliable production systems that drive growth in areas such as Capacity Planning, Driver Search, Matching, Offer and Surge Pricing, Incentive Strategy, and ETA prediction. This collaborative environment leverages advanced analytics and predictive modeling to solve complex business challenges and accelerate innovation within Walmart’s largest local delivery service.

• Collaborate with stakeholders to ensure that our data science product supports Walmart’s business objectives.
• Explore the latest trends in machine learning and optimization techniques to innovate solutions to solve high-impact and complex business problems.
• Build data pipelines from multiple sources and extract data insights using data exploration and visualization techniques.
• Design, implement, productionize, and deploy end to end machine learning solutions with consideration for optimality and computation complexity.
• Design and implement experiments to develop NorthStar metrics, draw unbiased and robust statistical inferences, and establish causality.

• Advanced degree in Computer Science, Statistics, Operation Research, Economics, or related field.
• Extensive experience in data science, machine learning, statistical analysis, Reinforcement learning, personalization, and ranking experience.
• Proven track record of building and deploying algorithms/models in production.
• Expertise in programming languages such as 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 completion in a fast-paced, dynamic environment.
• Excellent communication with the ability to influence and inspire cross-functional teams.

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 (https://one.walmart.com/) .

The annual salary range for this position is $117,000.00 - $234,000.00. Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include: Stock.

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

Data science, machine learning, optimization models, Master’s degree 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.

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.

Walmart, Inc. is an Equal Opportunity Employer‑ By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity‑ unique styles, experiences, identities, abilities, ideas and opinions‑ while being inclusive of all people.