(USA) Senior, Data Scientist
About The Position
As a Senior Data Scientist at Walmart, you will leverage advanced analytical techniques and domain expertise to identify, develop, and deploy data-driven solutions that support strategic business objectives. This role involves designing robust models, ensuring data quality, and translating complex data into actionable insights. You will collaborate across functions to optimize data ecosystems, guide junior team members, and communicate findings effectively to influence decision-making. Your expertise in programming, statistical methods, and data visualization will drive scalable, impactful outcomes aligned with Walmart’s commitment to operational excellence and innovation. About the team: The Customer Decision Science team leverages advanced data science and predictive analytics to support strategic business decisions. By applying expertise in machine learning, data visualization, and statistical methods, the team transforms complex data into actionable insights. Collaborating across functions, members develop and validate scalable models aligned with business goals to improve customer outcomes. The team prioritizes data quality, continuous improvement, and innovation within a professional environment. It fosters knowledge sharing and delivers measurable value through data-driven strategies that advance organizational objectives and drive impactful results.
Requirements
- Extensive experience in data science, machine learning, and predictive modeling to solve complex business problems.
- Proficiency in Python and R programming languages for code development, testing, and data analysis.
- Strong knowledge of statistical methods, exploratory data analysis, and advanced analytical modeling techniques.
- Expertise in data visualization tools and best practices to effectively communicate insights to stakeholders.
- Ability to identify, assess, and select appropriate data sources and ensure data quality and governance compliance.
- Experience deploying and scaling analytical models in production environments with attention to performance and sustainability.
- Solid understanding of business context and ability to translate requirements into actionable data-driven solutions.
- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field.
- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field.
- 5 years' experience in an analytics or related field.
Nice To Haves
- 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)
- 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.
- 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.
Responsibilities
- Identify and assess relevant data sources to ensure quality and fit-for-purpose datasets.
- Develop, validate, and deploy advanced analytical models using statistical and machine learning techniques.
- Design and implement data pipelines and workflows to support scalable model deployment.
- Perform exploratory data analysis and feature engineering to enhance model accuracy and business insights.
- Create clear and impactful data visualizations to communicate findings to stakeholders.
- Collaborate with cross-functional teams to translate business requirements into data-driven solutions.
- Mentor junior associates on analytical methods and best practices.
- Ensure adherence to data governance, quality standards, and coding/testing protocols.
Benefits
- Competitive pay
- Performance-based bonus awards
- Medical coverage
- Vision coverage
- Dental coverage
- 401(k)
- Stock purchase
- Company-paid life insurance
- PTO (including sick leave)
- Parental leave
- Family care leave
- Bereavement
- Jury duty
- Voting leave
- Short-term disability
- Long-term disability
- Company discounts
- Military Leave Pay
- Adoption and surrogacy expense reimbursement
- Live Better U (Walmart-paid education benefit program for full-time and part-time associates)
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
