(USA) Principal, Data Scientist
Position Summary
The Principal Data Scientist at Walmart leads the development and deployment of advanced analytical models and machine learning solutions to address complex business challenges. This role requires deep expertise in statistical analysis, coding, and data strategy to translate business needs into impactful data-driven insights.
What you'll do
Develop, test, and deploy advanced data science solutions using programming languages such as Python and SQL to address complex business challenges.
Analyze business problems to identify root causes and recommend data-driven approaches aligned with strategic objectives.
Identify, assess, and validate data sources ensuring quality and relevance for modeling and analytics.
Design, build, and validate predictive and prescriptive models leveraging machine learning, deep learning, and statistical techniques.
Collaborate with stakeholders to translate business requirements into actionable data strategies and measurable outcomes.
Mentor team members on analytical methods, model development, and data visualization best practices.
Monitor model performance and implement lifecycle management to ensure sustained impact and scalability.
About the team
The team leads Applied Science initiatives for Last Mile Delivery at Walmart, focusing on optimizing routing, trip pricing, driver trip matching, delivery commitments, and capacity management. They apply advanced data strategies and machine learning techniques to ensure platform trust and safety. Collaborating with stakeholders, the team develops innovative solutions that enhance operational efficiency and customer satisfaction. Their expertise in predictive analytics, data strategy, and machine learning drives scalable, data-driven outcomes that support Walmart’s commitment to reliable and efficient last mile delivery services.
Minimum Qualifications
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field.
Option 2: Masters 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
- Data science, machine learning, optimization models
- PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics
- Publishations or active peer reviewer in related journals or conference
- 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.