(USA) Staff, Data Scientist

Walmart • Bentonville, AR

4d • $110,000 - $286,000 • Onsite

About The Position

The (USA) Staff, Data Scientist plays a critical role in leveraging advanced analytics, machine learning, and data visualization to drive informed business decisions. This position requires expertise in identifying and validating data sources, developing predictive models, and translating complex data into actionable insights aligned with business objectives. The role involves collaborating across functions to implement scalable solutions, ensuring data quality and governance, and mentoring team members. The successful candidate will contribute to strategic initiatives by applying rigorous analytical methods and fostering continuous improvement in data-driven practices. Our team is dedicated to addressing key challenges in retail and supply chain by developing intelligent systems that enhance item availability, optimize sourcing and inventory decisions, and improve operational efficiency. We leverage advanced data science techniques, including predictive analytics, machine learning, and big data analytics, to deliver actionable insights. Focused on creating seamless end-to-end customer experiences, the team collaborates across functions to build scalable solutions that drive business value and operational excellence in a dynamic environment.

Requirements

• Proven expertise in data science, including predictive analytics, machine learning algorithms, and exploratory data analysis.
• Proficiency in programming languages such as Python and experience with data visualization tools like Tableau, Matplotlib, or PowerBI.
• Strong understanding of data strategy, data quality standards, and data governance principles.
• Experience with big data analytics and distributed data stores including SQL and NoSQL databases.
• Ability to assess, validate, and tune models using best practices and relevant evaluation metrics.
• Skilled in translating complex business requirements into data-driven solutions aligned with organizational goals.
• Effective communication skills to present insights and influence stakeholders.
• Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.
• Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field.
• 6 years' experience in an analytics or related field

Nice To Haves

• 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)
• 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 and implement data strategies aligned with business objectives to unlock value from data assets.
• Design, build, and validate predictive models using advanced machine learning techniques and statistical methods.
• Perform exploratory data analysis and create insightful visualizations to communicate findings effectively to stakeholders.
• Collaborate with cross-functional teams to translate business problems into data-driven solutions.
• Deploy and monitor models in production, ensuring performance and scalability.
• Mentor team members on analytical methods, coding best practices, and data storytelling.

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
• Walmart-paid education benefit program (Live Better U) for full-time and part-time associates

What This Job Offers

• Job Type: Full-time
• Career Level: Senior