Staff Data Scientist

Walmart

. Identify and source relevant data from multiple business domains and databases .

Posted 10/23/2026full-timeBentonville • United StatesLead💰 $110,000 - $220,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in predictive analytics, machine learning algorithms, and advanced statistical modeling techniques, with a strong ability to translate complex business problems into data-driven solutions. Proficient in deploying and monitoring models in production environments while ensuring data quality and integrity.

Highest-signal resume keywords

Predictive AnalyticsMachine Learning AlgorithmsPython ProgrammingData VisualizationData Quality Assessment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive AnalyticsMachine Learning AlgorithmsAdvanced Statistical ModelingData Quality AssessmentModel DeploymentModel ValidationData GovernanceNatural Language ProcessingAutomationMLOps

Soft Skills

Effective CommunicationMentoringCollaboration

Tools & Technologies

PythonMatplotlibPlotlyTableau

Industry Keywords

Data StrategyData IntegrityData-Driven SolutionsCross-Functional CollaborationData Storytelling

Tech Stack

Tools & technologies

PythonTableau

About the role

Key responsibilities & impact

Identify and source relevant data from multiple business domains and databases
Conduct data quality assessments and ensure data integrity
Develop, validate, and tune predictive models using advanced statistical and machine learning techniques
Design and implement data visualizations to communicate insights
Collaborate with cross-functional teams to translate business problems into data-driven solutions
Deploy and monitor models in production environments for scalability and performance
Mentor team members on analytical methods, coding best practices, and data storytelling
Develop enterprise-scale machine learning systems supporting product-attribute processing and accurate taxation across Walmart sales channels
Translate complex stakeholder challenges into scalable AI applications and enhance models supporting operational excellence

Requirements

What you’ll need

Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 4 years' experience in an analytics-related field; or
Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 2 years' experience in an analytics-related field; or
6 years' experience in an analytics or related field
Expertise in predictive analytics, machine learning algorithms, and advanced statistical modeling techniques
Proficiency in Python and data visualization tools such as Matplotlib, Plotly, or Tableau
Understanding of data strategy, data quality standards, and data governance principles
Experience with model assessment, validation, deployment, and scaling in production environments
Ability to translate complex business problems into data-driven solutions
Knowledge of MLOps, automation, and natural language processing applications
Effective communication skills to present insights and influence stakeholders

Benefits

Comp & perks

Performance-based bonus awards
Medical, vision, and dental coverage
401(k)
Stock purchase
Company-paid life insurance
PTO, including sick leave
Parental leave
Family care leave
Bereavement leave
Jury duty leave
Voting leave
Short-term and long-term disability
Company discounts
Military Leave Pay
Adoption and surrogacy expense reimbursement
Live Better U education benefit with tuition, books, and fees completely paid for
PTO and/or PPTO for vacation, sick leave, holidays, or other purposes
Additional stock compensation for certain positions
Annual or quarterly performance bonuses