Senior Data Science Intern

Jobtailor; Bentonville (AR); On-site; USD 90,000 - 120,000; Full time

Job summary

Jobtailor in Bentonville, AR seeks a data-focused professional to identify data sources, perform quality checks, and apply data strategy to business problems. You will support deployment and evaluation of analytical models, develop features with Python, SQL, and R, and present insights using Tableau/Power BI.

Mentor junior analysts, collaborate with UX/UI teams, and translate complex requirements into actionable analytics initiatives. This role blends data science with practical business impact.

Qualifications

• Knowledge of data quality, governance, storage, and scalability.
• Experience with data sources, business data requirements, and distributed datastores.
• Model deployment, scaling, formats, and servers.
• Coding in SQL, Java, C, Python, R, and other languages.
• Model fit testing, tuning, and validation techniques.
• Proficiency in data visualization tools and libraries.
• Experience across multiple business domains and analytics.
• Strong analytics, ML, NLP, CV, and statistical methods.
• Familiarity with multivariate calculus and optimization in R/Python.
• Must not require immigration sponsorship.

Responsibilities

• Identify suitable data sources and perform initial data quality checks.
• Apply data strategy principles to routine business problems.
• Support deployment, evaluation, scalability, and sustainability of analytical models.
• Develop and test application features using programming languages and requirements.
• Identify model evaluation metrics and apply testing and tuning techniques.
• Create graphical representations of data and model outcomes.
• Design data representations and collaborate with UX/UI teams on front-end apps.
• Present data insights to teams and business audiences using visualization frameworks.
• Guide and mentor junior associates on visualization, modeling, and analytics.
• Provide recommendations and develop business cases for complex issues.
• Translate business requirements into projects and tasks.
• Formulate business problems into data-related solutions.
• Select and develop analytical models for complex data.
• Conduct exploratory data analysis, hypothesis testing, and trend/clustering analysis.
• Design experiments, test hypotheses, and provide business insights.
• Build stakeholder relationships and support implementation of solutions.
• Monitor progress, identify opportunities, and adapt to changing demands.
• Model compliance with company policies, values, ethics, and standards.

Skills

Data quality checks

Exploratory data analysis

Hypothesis testing

Feature selection

Statistical inference

Mentoring

Stakeholder communication

Problem solving

Data governance

Data management

Tools

Tableau

Power BI

Ggplot

Matplotlib

Plotly

Job description

• Identify suitable, fit-for-purpose data sources and perform initial data quality checks
• Apply data strategy principles to routine business problems
• Support deployment, evaluation, scalability, and sustainability of analytical models
• Develop and test application features using recommended programming languages and business, technical, and data requirements
• Identify model evaluation metrics and apply testing and tuning techniques to assess accuracy, fit, validity, and robustness
• Create graphical representations of data and model outcomes
• Design data representations for multiple datasets and collaborate with UX designers and UI engineers on front-end applications
• Present data insights to teams and business audiences using appropriate visualization frameworks
• Guide and mentor junior associates on visualization, modeling, and analytics techniques
• Provide recommendations and develop business cases addressing complex business issues
• Translate business requirements into projects, activities, tasks, and domain-specific artifacts
• Formulate business problems into data-related or mathematical solutions
• Select and develop analytical models for complex structured data
• Conduct exploratory data analysis, hypothesis testing, statistical inference, trend analysis, and cluster analysis
• Design experiments, test hypotheses, and provide business recommendations and insights
• Build stakeholder relationships and support implementation of business solutions
• Monitor progress and results, identify improvement opportunities, and adapt to changing demands
• Model compliance with company policies, values, ethics, and standards

Requirements

• Knowledge of functional business domains, business data requirements, database technologies, and distributed datastores such as SQL and NoSQL
• Knowledge of data quality, existing business systems and processes, data management, data governance, accessibility, storage, and scalability
• Knowledge of model deployment, scaling, model formats, and servers
• Coding knowledge in SQL, Java, C, Python, R, and other programming languages
• Knowledge of static, dynamic, software composition analysis, and manual penetration testing methods
• Knowledge of model fit testing, tuning, and validation techniques, including Chi-square, ROC curve, and root mean square error
• Knowledge of data visualization tools and libraries such as Python, R, ggplot, Matplotlib, Plotly, Tableau, and Power BI
• Knowledge of business practices across two or more domains
• Knowledge of analytics, big data analytics, and automation techniques
• Knowledge of feature selection, exploratory data analysis, advanced statistics, machine learning, NLP, computer vision, neural networks, SVM, and Random Forest
• Knowledge of multivariate calculus, optimization methods, numerical optimization, and programming in R/Python
• Must not require immigration sponsorship for this role

Core Competencies

Demonstrates expertise in data analysis, model evaluation, and visualization, with proficiency in SQL, Python, and R. Capable of translating complex business requirements into actionable data-driven solutions while mentoring junior associates in analytics techniques.

Highest-signal resume keywords

• SQL Programming
• Data Visualization
• Model Evaluation Techniques
• Statistical Analysis
• Machine Learning

Hard Skills

• Data Quality Checks
• Exploratory Data Analysis
• Hypothesis Testing
• Feature Selection
• Model Deployment
• Statistical InferenceData Management
• Advanced Statistics
• Programming in Python
• Programming in R

Soft Skills

• Mentoring
• Collaboration
• Communication
• Problem-Solving
• Stakeholder Relationship Building

Industry Keywords

• Data Governance
• Big Data Analytics
• Business Practices
• Data Management
• Distributed Datastores

Tools & Technologies

• Tableau
• Power BI
• Ggplot
• Matplotlib
• Plotly