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Senior Data Scientist
WalmartSenior Data Scientist optimizing Walmart’s omnichannel supply chain network. Developing scalable models, analyzing scenarios, and delivering actionable insights for distribution-center strategy.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data science and advanced analytics, with proficiency in Python and SQL for developing and deploying analytical models. Capable of translating complex business requirements into actionable insights and effective data visualizations while ensuring data integrity and quality.
Highest-signal resume keywords
Data Science ExpertiseAdvanced AnalyticsSQL ProficiencyPython ProgrammingData Visualization
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Modeling TechniquesLinear OptimizationData Quality AssessmentAnalytical Model DevelopmentHypothesis Testing
Soft Skills
CollaborationAdaptabilityProblem-Solving
Tools & Technologies
MatplotlibPlotlyTableauNoSQL Database Technologies
Industry Keywords
Data-Driven SolutionsBusiness ObjectivesNetwork Design OptimizationData Integrity
Tech Stack
Tools & technologiesNoSQLPythonSQLTableau
About the role
Key responsibilities & impact- Identify and source relevant data from multiple business domains and distributed databases
- Develop, test, and deploy advanced analytical models using Python and SQL
- Conduct fast-paced analysis to test hypotheses across multiple scenarios
- Perform data quality assessments and ensure data integrity
- Translate complex business requirements into data-driven solutions and actionable insights
- Create clear and effective data visualizations for stakeholders
- Collaborate cross-functionally to align data strategies with business objectives
- Develop and deploy scalable network models supporting strategic business decisions
- Contribute to optimizing network design through data science and rigorous analytical practices
Requirements
What you’ll need- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field; or master’s degree and 1 year’s experience; or 5 years' experience in an analytics or related field
- Extensive experience in data science and advanced analytics
- Experience with linear optimization and data modeling techniques
- Strong knowledge of SQL and NoSQL database technologies
- Ability to perform data quality assessments
- Proficiency in SQL and Python programming
- Proficiency with data visualization tools such as Matplotlib, Plotly, or Tableau
- Ability to conduct fast-paced analysis to prove or disprove hypotheses
- Ability to translate complex business requirements into data-driven solutions aligned with strategic objectives
- Passion to learn in a fast-paced, growth-focused environment
Benefits
Comp & perks- Performance-based bonus awards
- Medical, vision, and dental coverage
- 401(k)
- Stock purchase
- Company-paid life insurance
- Paid time off, 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
- PTO and/or PPTO for vacation, sick leave, holidays, or other purposes
- Live Better U education benefit program
- Tuition, books, and fees completely paid for eligible education programs
- English Language Learning and short-form certificate programs