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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data science and machine learning, with a strong focus on model development, assessment, and optimization. Proven ability to translate business requirements into actionable analytics projects while mentoring teams and enhancing data quality standards.
Highest-signal resume keywords
Data ScienceMachine LearningPython ProficiencyData VisualizationStakeholder Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Advanced Statistical MethodsModel Assessment TechniquesFeature EngineeringData Quality StandardsDemand ForecastingOptimization ModelsBusiness MetricsProject Management
Soft Skills
MentoringCommunicationCollaboration
Tools & Technologies
SQLMatplotlibPlotlyTableauPowerBIScikit-learnTensorFlowTorch
Industry Keywords
AnalyticsBusiness IntelligenceLast Mile DeliveryPhysical Asset DeploymentSpark Network Optimization
Tech Stack
Tools & technologiesOpen SourcePythonScalaScikit-LearnSparkSQLTableauTensorflow
About the role
Key responsibilities & impact- Lead development, assessment, and validation of advanced analytical models
- Design and implement data visualization solutions for communicating complex insights and supporting decisions
- Translate business requirements into actionable data science projects aligned with strategic objectives
- Guide and mentor team members on modeling techniques, feature engineering, and data quality standards
- Collaborate cross-functionally to identify data sources, ensure data integrity, and deploy scalable models into production
- Drive continuous improvement through emerging machine learning methods and model-performance optimization
- Lead analytics initiatives for Walmart's Last Mile Delivery and Physical Asset Deployment
- Support depot strategy, site selection, demand forecasting, asset deployment, and Spark Network optimization
- Enhance fulfillment efficiency, operational performance, and data-driven decision-making
Requirements
What you’ll need- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 5 years' experience in an analytics-related field; or Master's degree in one of these fields and 3 years' experience; or 7 years' experience in an analytics or related field
- Extensive experience in data science, machine learning, and advanced statistical methods
- Proficiency in Python, SQL, and data visualization tools such as Matplotlib, Plotly, Tableau, or PowerBI
- Strong knowledge of model assessment techniques including ROC curve, Chi-square, and root mean square error
- Ability to translate business requirements into actionable data science projects
- Expertise in stakeholder management and communicating technical insights to non-technical business audiences
- Proven leadership in mentoring teams and driving continuous improvement in analytics and data quality
- Solid understanding of business metrics, project management, and business intelligence applications
- Preferred: data science, machine learning, optimization models, supervisory experience, open source frameworks such as scikit-learn, TensorFlow, or Torch
- Preferred: successful completion of assessments in Python, Spark, Scala, or R
Benefits
Comp & perks- Performance-based bonus awards
- Medical coverage
- Vision coverage
- 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 disability
- 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
- Annual or quarterly performance bonuses
- Stock compensation may apply to certain positions
