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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, including machine learning model development, deployment, and optimization. Proficient in Python and SQL, with strong analytical skills and experience in mentoring and collaborating across teams.
Highest-signal resume keywords
Machine Learning ExpertisePython ProficiencySQL ProficiencyData Visualization KnowledgeMentoring Experience
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 SciencePredictive ModelingModel AssessmentFeature EngineeringExploratory Data AnalysisStatistical MethodsModel TuningModel ValidationData Quality AssuranceMLOps Understanding
Soft Skills
Analytical SkillsCollaborationMentoring
Tools & Technologies
Data Visualization Tools
Industry Keywords
Data-Driven SolutionsBusiness DomainsData QualityScalabilitySustainability
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Identify and source relevant data from multiple business domains
- Ensure data quality and suitability for analysis
- Develop, test, and deploy advanced analytical and machine learning models
- Perform exploratory data analysis and feature engineering
- Translate business requirements into data-driven solutions
- Create data visualizations and presentations to communicate findings
- Mentor junior team members on modeling, coding, and data science methodologies
- Continuously evaluate and optimize deployed models for scalability and sustainability
- Develop production-ready machine learning systems supporting accurate taxation across Walmart sales channels
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 in one of these fields and 1 year’s experience; OR 5 years' experience in an analytics or related field
- Extensive experience in data science
- Strong proficiency in Python and SQL
- Expertise in machine learning, predictive modeling, model assessment, tuning, and validation
- Knowledge of data visualization tools and best practices
- Ability to identify and source relevant data and ensure data quality
- Understanding of model deployment, scalability, and MLOps
- Strong analytical skills and advanced statistical methods
- Experience mentoring junior associates and collaborating cross-functionally
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 Walmart-paid education benefit program
- Tuition, books, and fees completely paid for eligible education programs
