Data Science Intern

ESA - Electronic Security Association

. Explore and analyze data to identify trends, patterns, and opportunities for business or product improvement .

Posted 11/2/2026full-timeUnited StatesEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates proficiency in data analysis, including data cleaning, exploration, and visualization, while utilizing Python and SQL for analytical tasks. Familiarity with Databricks and machine learning concepts enhances the ability to support predictive modeling and communicate findings effectively.

Highest-signal resume keywords

Python ProgrammingSQL QueryingData CleaningDatabricks Notebooks DevelopmentMachine Learning Concepts

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisPredictive ModelingFeature DevelopmentModel TrainingPerformance EvaluationData VisualizationStatistical AnalysisData Quality ManagementAutomated ReportingExploratory Data Analysis

Soft Skills

CollaborationCommunicationCuriosityAttention to DetailProblem-Solving

Tools & Technologies

DatabricksApache SparkGitPandasNumPyScikit-learnMatplotlibCloud Data Platforms

Industry Keywords

Data ScienceComputer ScienceStatisticsMathematicsEngineering

Tech Stack

Tools & technologies

ApacheCloudNumpyPandasPythonScikit-LearnSparkSQL

About the role

Key responsibilities & impact

Explore and analyze data to identify trends, patterns, and opportunities for business or product improvement
Clean and prepare datasets, addressing missing values, inconsistencies, and data quality issues
Write SQL queries and Python scripts in Databricks to extract, transform, and analyze data from multiple sources
Develop Databricks notebooks, dashboards, and visualizations to communicate findings and track performance metrics
Support predictive modeling, including feature development, model training, and performance evaluation
Analyze product usage and performance to understand customer behavior and identify opportunities for improvement
Automate recurring analyses and reports to reduce manual effort and improve consistency
Collaborate with data scientists, engineers, and business stakeholders to translate business questions into analytical tasks
Document datasets, methods, code, and findings using team standards and Git workflows
Complete and present a scoped capstone project explaining the approach, results, limitations, and recommended next steps

Requirements

What you’ll need

Active student status pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field
Foundational experience with Python and SQL through coursework, academic projects, or internships
Basic understanding of statistics, data analysis, and machine learning concepts
Ability to communicate findings clearly and collaborate with others
Experience cleaning, exploring, and visualizing data through coursework, research, or personal projects
Familiarity with Databricks, Apache Spark, or cloud data platforms, and interest in learning these tools
Exposure to Python libraries such as pandas, NumPy, scikit-learn, or Matplotlib
Exposure to Git for version control
Curiosity, attention to data quality, and ability to break practical problems into manageable analytical tasks
Willingness to learn from feedback, document work, and collaborate with data scientists, engineers, and business stakeholders
Must be an active student
This position is not eligible for US visa sponsorship

Benefits

Comp & perks

Comprehensive benefits, including life and health insurance
Life assistance program
Accidental death and dismemberment insurance
Disability insurance
401k Plan
Vacation and holidays
Hands-on experience applying Python, SQL, and Databricks to real business and product data
Mentorship and collaboration with experienced data scientists and engineers
Professional development
Opportunity to present a capstone project