Data Scientist

Position Summary

Team members take end‑end responsibility in analyzing large amounts of data, creating complex models, improving their accuracy, and deploying these models to serve customers.

As part of this team, you'll solve some of the most fascinating and impactful problems in machine learning, information retrieval, NLP or computer vision. The algorithms you develop will champion customers’ need to express their intent and our goal to understand their preferences, implicitly or explicitly across devices and modalities (voice, text, image, etc.). You will develop and deploy machine‑learned models to engage and converse with our customers and to understand their goals and expectations to enable them to make the right purchase decision.

Your work will be visible to millions of customers and you will have a direct impact on the goals of the company. If you speak and think machine learning then we want to talk to you. Come join our team and be part of this exciting journey.

Immigration sponsorship support will NOT be available for this position.

• Apply machine learning algorithms to maximize the relevance of the search system and minimize risks.
• Build, validate, test, and deploy predictive models using machine learning techniques to explain or predict behavior and solve a variety of business and engineering problems.
• Identify, collect, and explore the right data for predictive modeling and algorithm development.
• Perform and lead developments using machine learning techniques in one or more key areas such as natural language processing, computer vision, information retrieval, entity recognition, product classification, and recommendation systems.

• At least 5 years of work and research experience in the machine learning field with a deep understanding of machine learning and an interest in applying it at scale.
• Experience with data cleaning, preparation, featurization, and selection techniques.
• Experience working with large datasets to solve problems.
• Experience with deep‑learning libraries such as Tensor Flow and/or PyTorch, and experience with Spark and/or Hadoop.
• Hands‑on experience with Python, Java, or Scala and the ability to write reusable and efficient code to automate machine learning pipelines and data processes.
• Effective communication, interpersonal, and teamwork skills.
• Ability to handle multiple concurrent projects while working independently and in teams.
• Capacity to work in a fast‑paced and deadline‑driven environment.
• Ph.D. or Master’s degree in Computer Science, Statistics, Artificial Intelligence, Operations Research, Mathematics, Electrical Engineering, Computational Linguistics, or related fields.

• Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 4 years’ experience in an analytics‑related field.
• Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 2 years’ experience in an analytics‑related field.
• 6 years’ experience in an analytics or related field.

• Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics.
• Successful completion of assessments in Python, Spark, Scala, or R.
• Experience with open‑source frameworks such as scikit‑learn, Tensor Flow, or PyTorch.
• Background in creating inclusive digital experiences and knowledge of Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.

1395 Crossman Ave, Sunnyvale, CA , United States of America.

• Competitive pay with performance-based bonus awards.
• 401(k) match and stock purchase plan.
• Paid maternity and parental leave, PTO, multiple health plans, flexible working hours.
• Medical, dental, vision, and wellness programs.
• Live Better U education benefit program covering 100% of tuition and books.
• Walmart Academy job‑specific retail training and leadership courses.
• Access to mental health resources and assistance programs.
• On‑site childcare and fitness center.

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 unique styles, experiences, identities, ideas, and opinions while being inclusive of all people.

Walmart is 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.