Hybrid Senior Data Scientist – Walmart+ Acquisition and New Benefits

at Walmart

• Job title: Senior Data Scientist – Walmart+ Acquisition and New Benefits
• Job type: Full Time
• Experience level: Senior
• Salary: $90,000 - $180,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: NoSQL, Python, SQL
• Location requirements: Hybrid, Bentonville, United States

About the role

• Senior Data Scientist at Walmart utilizing machine learning for actionable business insights and solutions. Collaborating across teams to improve data quality, model performance, and business impact.

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 model validation, tuning, and assessment to ensure accuracy, robustness, and scalability in production environments.
• Translate complex business problems into data-driven solutions aligned with strategic objectives.
• Create clear and impactful data visualizations to communicate insights effectively to stakeholders.
• Mentor junior team members on modeling techniques and best practices.
• Collaborate cross-functionally to integrate data insights into business decision-making processes.

Requirements

• 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.
• Extensive experience in data science and advanced analytical modeling techniques, including machine learning and statistical methods.
• Proficiency in Python programming and data visualization tools to develop, test, and deploy scalable models.
• Strong knowledge of data sources, quality assessment, and database technologies such as SQL and NoSQL.
• Ability to translate complex business requirements into data-driven solutions aligned with strategic objectives.
• Expertise in model validation, tuning, and deployment to ensure robust and sustainable analytical outcomes.
• Effective communication skills to present insights and guide stakeholders using clear data visualizations.

Benefits

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