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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in predictive analytics and machine learning, with a strong foundation in statistical hypothesis testing and model deployment. Proficient in Python and data visualization tools, capable of translating complex business problems into actionable data-driven solutions.
Highest-signal resume keywords
Predictive AnalyticsMachine Learning AlgorithmsPython ProficiencyData Visualization ToolsMLOps Practices
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Predictive AnalyticsMachine LearningStatistical Hypothesis TestingModel AssessmentModel ValidationModel DeploymentAutomated ExperimentationAnalytical ModelingAgentic Research SystemsNatural Language Processing
Soft Skills
Effective CommunicationMentoring
Tools & Technologies
PythonMatplotlibPlotlyTableau
Industry Keywords
Data QualityCross-Functional CollaborationE-CommerceSearch SolutionsAdvertising SolutionsRecommendation SystemsPersonalization Solutions
Tech Stack
Tools & technologiesPythonTableau
About the role
Key responsibilities & impact- Identify and source relevant data from multiple business domains
- Ensure data quality and suitability for analysis
- Collaborate with cross-functional teams to translate business problems into data-driven solutions
- Design, build, and validate predictive models using advanced statistical and machine learning techniques
- Implement autonomous research loops where AI agents tune hyperparameters, modify training code or architecture, and run experiments with minimal human intervention
- Automatically identify and select the best-performing models at the offline/experimentation level
- Deploy and monitor models in production for scalability and consistent performance
- Mentor team members on analytical methods, coding best practices, and model development
- Develop foundational models for Walmart's e-commerce platform supporting search, advertising, recommendation, and personalization solutions
Requirements
What you’ll need- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field and 4 years' experience in an analytics-related field; OR Master's degree in one of these fields and 2 years' experience; OR 6 years' experience in an analytics or related field
- Proven expertise in predictive analytics, machine learning algorithms, and statistical hypothesis testing
- Proficiency in Python
- Proficiency with data visualization tools such as Matplotlib, Plotly, or Tableau
- Experience with model assessment, validation, and deployment in production environments
- Hands-on experience building or operating agentic/autonomous research systems
- Experience running automated experimentation against defined objective metrics, including auto-generated evaluation reports and offline best-model selection
- Ability to translate complex business problems into data-driven solutions using advanced analytical modeling
- Familiarity with MLOps practices and NLP techniques
- Effective communication skills to present insights and mentor junior team members
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 Walmart-paid education benefit program
- Tuition, books, and fees completely paid for eligible education programs
- Stock compensation for certain positions
