Data Science Intern

Walmart

Data Science III intern developing analytical models and machine-learning solutions for Walmart. Supporting experiments, model validation, deployment, visualization, and business recommendations.

Posted 9/10/2026full-timeBentonville • 🇺🇸 United StatesEntry Level💰 $23 - $45 per hourWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data strategy, analytical modeling, and statistical analysis, with proficiency in programming languages such as R and Python. Capable of mentoring junior associates and translating complex business problems into data-driven solutions while ensuring data quality and compliance.

Highest-signal resume keywords

Data StrategyAnalytical ModelingStatistical AnalysisProgramming in R and PythonData Visualization

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Exploratory Data AnalysisMachine LearningStatistical InferenceAdvanced ExcelSQLData Quality StandardsModel DeploymentStatistical ModelsBig Data AnalyticsNumerical Optimization

Soft Skills

MentoringCollaborationStakeholder Relationship BuildingBusiness UnderstandingCoaching

Tools & Technologies

GGplotMatplotlibPlotlyTableauPower BI

Industry Keywords

Data GovernanceData ManagementData AccessibilityData StorageData Scalability

Tech Stack

Tools & technologies

JavaNoSQLPythonSQLTableau

About the role

Key responsibilities & impact

Apply data strategy principles to routine business problems involving a single function
Select analytical modeling techniques for structured, complex data
Conduct exploratory data analysis, statistical analysis, hypothesis testing, and statistical inference
Define and finalize features and introduce revised features to improve analysis outcomes
Design and conduct experiments and test hypotheses
Perform trend and cluster analysis and provide business recommendations and insights
Mentor and guide junior associates on modeling and analytics techniques
Support deployment, evaluation, scalability, and sustainability of analytical models
Develop solution and application features using recommended programming languages
Test code using recommended testing approaches
Translate business problems into data-related or mathematical solutions
Identify appropriate methods and tools to solve technical problems
Support business cases, recommendations, process updates, and assigned project activities
Identify suitable datasets and data sources while maintaining awareness of data quality
Support model fit testing and validation and assess feature impact on performance
Create graphical representations of data and model outcomes
Support customer requirements and design data representations
Present data visualizations and influence the team using business understanding
Build stakeholder relationships, implement business solutions, and monitor progress and results
Uphold Walmart policies, values, ethics, compliance, and customer/member-focused practices
Collaborate cross-functionally and support talent development through feedback, coaching, and mentoring

Requirements

What you’ll need

Immigration sponsorship is not available for this role
Knowledge of data strategy, data management, data quality standards, data governance, accessibility, storage, and scalability
Knowledge of analytical modeling, exploratory data analysis, advanced statistics, machine learning, NLP, computer vision, neural networks, SVM, and random forests
Knowledge of multivariate calculus and statistical models behind standard machine learning models
Advanced Excel skills
Programming skills in R and Python
Knowledge of classical and numerical optimization, including linear, integer, and quadratic programming
Knowledge of model deployment, model formats, servers, scalability, and sustainability
Coding skills in SQL, Java, C, Python, and other languages
Knowledge of software testing methods
Knowledge of big data analytics and automation techniques
Knowledge of SQL, NoSQL, databases, and distributed datastores
Knowledge of model fit testing, tuning, validation, chi-square, ROC curve, and root mean square error
Knowledge of data visualization tools and libraries, including GGplot, Matplotlib, Plotly, Tableau, and Power BI
Ability to understand business context and metrics across multiple domains
Ability to identify appropriate data sources and assess data quality

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, including fully paid tuition, books, and fees for programs ranging from high school completion to bachelor's degrees, English Language Learning, and short-form certificates