Data Science Intern

Jobtailor; Bentonville (AR); On-site; USD 90,000 - 140,000; Full time

Job summary

Walmart in Bentonville, AR is seeking a data scientist to apply data strategy principles to routine business problems and to select analytical modeling techniques for structured data. You will conduct exploratory data analysis, define features, design experiments, and provide insights that influence business decisions.

Strong skills in R and Python, SQL, and data visualization are essential, with mentoring responsibilities for junior analysts.

Qualifications

• 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 SQL, NoSQL, databases, and distributed datastores.
• Knowledge of model deployment, model formats, servers, scalability, and sustainability.
• Knowledge of data visualization tools and libraries, including GGplot, Matplotlib, Plotly, Tableau, and Power BI.

Responsibilities

• 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.

Skills

Data Strategy

Analytical Modeling

Statistical Analysis

Programming in R and Python

Data Visualization

Exploratory Data Analysis

Machine Learning

Statistical Inference

Advanced Excel

SQL

NoSQL

Tools

GGplot

Matplotlib

Plotly

Tableau

Power BI

Job description

• 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

• 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

Core Competencies

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 Strategy
• Analytical Modeling
• Statistical Analysis
• Programming in R and Python
• Data Visualization

Hard Skills

• Exploratory Data Analysis
• Machine Learning
• Statistical Inference
• Advanced Excel
• SQL
• Data Quality Standards
• Model Deployment
• Statistical Models
• Big Data Analytics
• Numerical Optimization

Soft Skills

• Mentoring
• Collaboration
• Stakeholder Relationship Building
• Business Understanding
• Coaching

Industry Keywords

• Data Governance
• Data Management
• Data Accessibility
• Data Storage
• Data Scalability

Tools & Technologies

• GGplot
• Matplotlib
• Plotly
• Tableau
• Power BI