(USA) Staff, Data Scientist

Staff Data Scientist

As a Staff Data Scientist, you will develop, deploy, and optimize data-driven solutions to address Walmart's operational and strategic needs. You will work with large-scale datasets, implement machine learning models, and collaborate with cross-functional teams to deliver robust, scalable, and efficient APIs and data systems.

Key Responsibilities

Design, develop, and deploy machine learning models and algorithms to address key business challenges, including supply chain optimization, customer personalization, and operational efficiency.

Implement scalable data pipelines using PySpark and other big data tools to process and analyze large-scale datasets.

Build and maintain APIs for deploying machine learning models and integrating with business systems.

Collaborate with engineering teams to implement CI / CD pipelines, ensuring efficient and reliable deployment of machine learning solutions.

Optimize and maintain workflows for data processing and model training, focusing on performance, scalability, and reliability.

Apply best practices in software development, including code versioning, testing, and documentation.

Work closely with stakeholders to translate business needs into data-driven solutions and actionable insights.

Key Qualifications

Bachelor's degree in Computer Science, Data Science, or a related field; advanced degrees are a plus.

5+ years of experience in data science, machine learning, or related fields.

Proficiency in Python and experience with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.

Hands-on experience with big data tools and frameworks, including PySpark.

Proven track record of building and maintaining APIs for machine learning or data-driven applications.

Knowledge of CI / CD pipelines and experience implementing automated workflows for model deployment.

Strong understanding of data pipelines, ETL processes, and scalable data handling techniques.

Excellent communication skills and a collaborative mindset.

Preferred Skills

Experience with optimization, operations research, computer vision, and recommender systems.

Familiarity with distributed systems and parallel computing for performance optimization.

Background in applying statistical methods to real-world business problems.

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 .

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 $110,000.00-$220,000.00. Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :

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Minimum Qualifications :

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

Option 1 : Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field.

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

Option 3 : 7 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 : 2501 Se J St, Ste A, Bentonville, AR 72716-3724, 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.