(USA) Staff, Data Scientist

About the role

The Staff Data Scientist will leverage data science methodologies, data engineering techniques, and strong coding skills to deliver actionable insights that support strategic business decisions. This role involves identifying and sourcing relevant data, developing and validating predictive models, and creating compelling data visualizations to communicate findings effectively. The position requires collaboration across functions to translate complex business challenges into data-driven solutions, ensuring model deployment and scalability and building a scalable platform. The ideal candidate will apply rigorous statistical methods, automation, and machine learning expertise to enhance data strategy and drive continuous improvement aligned with organizational goals.

About the team

Join the personalization marketing data science team at Walmart, collaborating with engineering, business, and product teams across digital marketing channels including SEM, SEO, CRM, and Display. The team develops scalable, data-driven solutions to optimize marketing effectiveness and generate high-quality demand efficiently. Members analyze extensive omni-channel commerce data to build models and algorithms that support business growth. Working alongside skilled data scientists, engineers, marketers, and product managers, the team creates advanced marketing science platforms that enhance strategies and deliver actionable insights across the organization.

Responsibilities

• Utilize cutting-edge machine learning/statistical/platform building techniques to deliver solutions for projects in the domain of marketing science and personalization
• Design statistically sound experiments to properly evaluate effectiveness
• Build, validate, test, and deploy predictive models using machine learning techniques to explain or predict customer behaviors
• Mine massive data, derive business insights, and propose interesting modeling projects that have the potential to have high business impact
• Standardize and build scalable and highly available systems that follow operational best practices
• Develop visuals and reports to efficiently communicate model results and insights to business teams
• Mentor junior team members

Requirements

• Option 1: Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years’ experience in an analytics-related field
• Option 2: Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years’ experience in an analytics-related field
• Option 3: 6 years’ experience in an analytics or related field

Qualifications

• Proven expertise in predictive analytics, machine learning algorithms, and statistical hypothesis testing
• Proficiency in Python programming and data visualization tools such as Matplotlib, Plotly, or Tableau
• Strong knowledge of data engineering, data pipelines, and MLOps for scalable model deployment
• Experience in data source identification, data quality assessment, and data strategy implementation
• Ability to develop, validate, and tune advanced analytical models using appropriate evaluation metrics
• Skilled in translating complex business problems into data-driven solutions with clear communication
• Familiarity with experimentation design, statistical inference, and automation techniques in data science

Preferred qualifications

• 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, PyTorch)
• Knowledge of accessibility best practices and experience implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards

Benefits

• Health benefits: medical, vision, and dental coverage
• Financial benefits: 401(k), stock purchase, and company-paid life insurance
• Paid time off benefits: PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting
• Other benefits: short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement
• Live Better U: Walmart-paid education benefit program covering high school completion to bachelor’s degrees, including English Language Learning and short-form certificates; tuition, books, and fees are completely paid for by Walmart

Pay

Sunnyvale, California US-11657: The annual salary range for this position is $143,000.00 – $286,000.00

Bentonville, Arkansas US-10735: The annual salary range for this position is $110,000.00 – $220,000.00

Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include stock.