(USA) Senior, Data Scientist

COMFORT SYSTEMS; Sunnyvale (CA); On-site; USD 117,000 - 234,000; Full time

Benefits offered by this job

Health benefits including medical, vision and dental coverage

401(k) and stock purchase options

Tuition coverage for education programs

Job summary

Walmart is seeking a Senior Data Scientist in Sunnyvale, CA to leverage advanced analytical techniques and drive business insights through collaborative work with cross-functional teams. The role involves deploying scalable models using Python and SQL, ensuring high data quality, and mentoring junior associates in data methodologies.

The successful candidate will guide the design of effective data visualizations and contribute to the development of AI-driven solutions for member engagement and business growth. The position offers competitive benefits including health coverage and a salary range of $117,000 – $234,000.

Qualifications

• Bachelor's degree in a related field and 3 years' experience in analytics or 5 years' experience in an analytics or related field.
• Proficiency in machine learning, advanced modeling techniques, and data visualization tools.
• Experience in collaborative work with cross-functional teams.

Responsibilities

• Identify and source relevant data ensuring quality for analysis.
• Develop and deploy advanced models using Python and SQL.
• Create data visualizations to communicate findings to stakeholders.
• Mentor junior associates in data science methodologies.

Skills

Data science

Machine learning

Python programming

Data visualization

Statistical methods

Education

Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, or related field

Master’s degree in relevant field

Tools

Python

SQL

Deep learning frameworks

Job description

As a Senior Data Scientist at Walmart, you will leverage advanced analytical techniques and domain expertise to transform complex data into actionable business insights. This role involves developing, validating, and deploying scalable models that support strategic decision-making across multiple business functions. You will collaborate with cross‑functional teams to identify data sources, ensure data quality, and apply innovative machine learning and statistical methods. Your expertise will guide the design of effective data visualizations and influence business outcomes, while mentoring colleagues and driving continuous improvement in data science practices aligned with Walmart’s operational goals.

The Personalization Data Science team develops advanced machine learning and AI‑driven solutions to enhance member engagement, retention, and business growth across Sam’s Club. The team builds and maintains Next Best Action models, personalized recommendation systems, and churn prediction models across multiple business domains. Leveraging techniques such as Large Language Models and agentic AI, the team improves recommendation quality, content understanding, and autonomous decision‑making. This group drives innovation by creating scalable, intelligent customer experiences that power personalized interactions across various customer touchpoints, contributing significantly to the personalization ecosystem’s success.

What you’ll do

• Identify and source relevant data from various business domains and databases, ensuring data quality and suitability for analysis.
• Develop, test, and deploy advanced analytical models using programming languages such as Python and SQL to solve complex business problems.
• Perform exploratory data analysis, feature engineering, and model validation to optimize predictive accuracy and robustness.
• Create clear, insightful data visualizations and reports to communicate findings effectively to stakeholders.
• Collaborate with cross‑functional teams to align data strategies with business objectives and support scalable model deployment.
• Mentor junior associates in data science methodologies and best practices.

What you’ll bring

• Extensive experience in data science, machine learning, and advanced analytical modeling techniques.
• Proficiency in Python programming, LLM, data engineering, feature engineering, and deep learning frameworks.
• Strong knowledge of data visualization tools and best practices to effectively communicate insights.
• Expertise in data source identification, data quality assessment, and data strategy implementation.
• Ability to develop, test, validate, and deploy scalable analytical models in production environments.
• Solid understanding of business domains to translate complex problems into data‑driven solutions.
• Proven capability to mentor and guide junior associates in modeling and analytics methodologies.

Benefits

• Health benefits including medical, vision and dental coverage.
• Financial benefits including 401(k), stock purchase and company‑paid life insurance.
• Paid time off benefits including PTO, parental leave, family care leave, bereavement, jury duty, and voting. 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.
• Other benefits include short‑term and long‑term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
• Live Better U is a company‑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.

Salary

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 Regional Pay Zone (RPZ) (based on location).

Minimum Qualifications

Option 1 – Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 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 1 year’s experience in an analytics‑related field.
Option 3 – 5 years’ experience in an analytics or related field.

Preferred Qualifications

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.

Primary Location

815 Eleventh Ave, Sunnyvale, CA 94089‑4731, United States of America

Drug‑free Workplace Policy

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.

Equal Opportunity Employer

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.