(USA) Senior, Data Scientist
About The Position
Join Walmart as a Senior Data Scientist and leverage your expertise in data science, machine learning, and advanced analytics to drive impactful business solutions. You will identify and source relevant data, develop and validate predictive models, and deploy scalable analytical solutions that support strategic decision-making. Collaborating across functions, you will translate complex business challenges into data-driven insights, mentor junior team members, and contribute to continuous improvement initiatives. This role demands strong proficiency in programming, statistical methods, and data visualization to enhance Walmart’s data ecosystem and deliver measurable value. About the team: The Applied AI Search & Personalization team develops advanced machine learning systems to enhance product discovery and deliver tailored shopping experiences. The team focuses on large-scale solutions including query understanding, retrieval, ranking, recommendations, personalization, and Generative AI. Combining cutting-edge AI research with robust engineering, the team addresses complex challenges at a global level, driving significant improvements in customer engagement, conversion rates, and business growth. Members collaborate to innovate and implement scalable models that support Walmart’s commitment to providing efficient and personalized services to customers worldwide.
Requirements
- Extensive experience in data science, including advanced statistical methods and predictive modeling.
- Proficiency in Python programming and data visualization tools such as Matplotlib, Plotly, or Tableau.
- Strong knowledge of machine learning techniques, feature engineering, and exploratory data analysis.
- Familiarity with big data technologies like Apache Spark and distributed data stores including SQL and NoSQL.
- Ability to develop, test, validate, and deploy scalable analytical models in production environments.
- Solid understanding of data quality standards, data governance, and business domain context.
- Excellent problem-solving skills with the ability to translate business requirements into 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 source relevant data from multiple business domains, ensuring data quality and suitability for analysis.
- Develop, test, and deploy advanced analytical models using programming languages such as Python and SQL.
- Perform exploratory data analysis and feature engineering to enhance model accuracy and business insights.
- Collaborate with stakeholders to translate business requirements into data-driven solutions aligned with strategic goals.
- Create clear and impactful data visualizations to communicate findings and influence decision-making.
- Mentor junior team members on modeling techniques and best practices.
- Support scalability and sustainability of deployed models within production environments.
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
- PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes
- Live Better U (Walmart-paid education benefit program for full-time and part-time associates)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
