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Intern Baseball Data Science Jobs in Maryland (NOW HIRING)

Ex Parte, Inc

Senior Data Scientist

Bethesda, MD · On-site +1

... League Baseball. * Drive technical roadmap to extend risk monitoring across identified threat surfaces. * Develop/experiment/ship state-of-the-art prediction models * Use excellent data science ...

Ex Parte, Inc

Senior Data Scientist

Bethesda, MD

... League Baseball. * Drive technical roadmap to extend risk monitoring across identified threat surfaces. * Develop/experiment/ship state-of-the-artprediction models * Use excellent data science ...

Analytica

2027 Summer Intern Associate

Bethesda, MD · On-site +1

$16 - $21.50/hr

Data Science Intern * Assist with data analysis, modeling, and exploratory data analysis * Support development of machine learning or statistical models * Prepare datasets for analysis and validation

Attain Sports

Grounds Intern

Frederick, MD · On-site

$15 - $20/hr

Attain Sports owns and manages four baseball teams: the Baltimore Orioles Double-A affiliate ... Grass science, or related fields. * Ability to work mornings, nights, weekends, and holidays as ...

HealthCorps

Monitoring & Evaluation Intern

Baltimore, MD · Remote

... Intern to join our team. The ideal candidate will play a crucial role in managing and analyzing ... Current undergraduate or graduate student studying public health, data science, social sciences, or ...

American Heart Association

$23/hr

Data Science * IT * And more! As an intern, you'll gain hands-on experience while contributing to a cause that impacts lives nationwide. Your internship includes: * Salary of $23/hour * Professional ...

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Intern Baseball Data Science information

What is an intern baseball data science?

An Intern Baseball Data Science is a temporary position, usually for students or recent graduates, where the intern assists professional baseball organizations in analyzing game and player data. The role typically involves working with large datasets, using statistical methods and programming languages like Python or R to uncover insights that can improve team performance or strategy. Interns may help with data collection, cleaning, and visualization, and often collaborate with coaches, scouts, and analysts. This position is designed to provide hands-on experience in sports analytics and prepare interns for a potential career in data science within the sports industry.

What do interns in baseball data science do?

As an Intern in Baseball Data Science, you can expect to work on a variety of projects such as analyzing player performance data, building predictive models for game outcomes, and assisting with the visualization of statistical insights for coaches and scouts. Interns often clean and organize large datasets, contribute to ongoing research, and collaborate closely with data scientists, analysts, and baseball operations staff. This hands-on experience not only builds technical and analytical skills but also provides exposure to how data-driven decisions are made in a professional sports environment.

What skills and qualifications are needed to thrive as an intern in baseball data science?

To thrive as an Intern in Baseball Data Science, you need a strong background in statistics, data analysis, and programming, often supported by coursework in mathematics, computer science, or a related field. Familiarity with tools such as Python or R, SQL databases, and data visualization platforms like Tableau is typically required. Strong problem-solving abilities, attention to detail, and effective communication make candidates stand out in this position. These skills and qualities are essential for accurately analyzing player and game data, providing actionable insights, and contributing to team decision-making.

What is the difference between Intern Baseball Data Science vs Intern Sports Data Analysis?

AspectIntern Baseball Data ScienceIntern Sports Data Analysis
Required CredentialsRelevant coursework in data science, basic programming skills, knowledge of baseball statisticsCoursework in sports analytics, data analysis, programming, and sports management
Work EnvironmentBaseball teams, sports analytics firms, or sports media companiesSports organizations, media outlets, or analytics firms covering various sports
Industry UsageFocused on baseball-specific data, player performance, game strategiesBroader sports data, including multiple sports types and general performance metrics

Intern Baseball Data Science primarily concentrates on baseball-specific data analysis, requiring knowledge of baseball statistics and programming. In contrast, Intern Sports Data Analysis covers multiple sports, emphasizing broader data skills across various athletic disciplines. Both roles involve working in sports environments but differ in scope and specialization.

What are popular job titles related to Intern Baseball Data Science jobs in Maryland?

For Intern Baseball Data Science jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Intern Baseball Data Science jobs in Maryland look for?

The top searched job categories for Intern Baseball Data Science jobs in Maryland are:

What cities in Maryland are hiring for Intern Baseball Data Science jobs?

Cities in Maryland with the most Intern Baseball Data Science job openings:

Intern Baseball Data Science jobs near you
Infographic showing various Intern Baseball Data Science job openings in Maryland as of August 2026, with employment types broken down into 11% Internship, 74% Full Time, and 15% Part Time. Highlights an 65% In-person, 23% Hybrid, and 12% Remote job distribution.

Senior Data Scientist

Ex Parte, Inc

Bethesda, MD • On-site, Remote

Full-time

Re-posted 10 days ago

Job description

Company Description
Ex Parte provides our customers with the data and insight to make smart and informed decisions on the most important legal issues facing their organizations.
We are is looking for talented, enthusiastic senior data engineers who share our passion for big data, AI, and machine learning and are excited by seemingly-impossible challenges. As an early employee, you must be amazingly entrepreneurial and thrive in a fast-paced environment where the solutions aren't predefined.
Every year, corporations spend more than $250B on litigation in the United States alone. And yet, critical decisions such as whether to litigate or settle, or where to file suit or which attorney to hire, are all made the same way they were 100 years ago.
We are applying artificial intelligence, machine learning, and natural language processing to provide our customers with the insight they need to make highly informed decisions and gain a winning advantage. Think of it like Moneyball, but for a market more than 20x the size of Major League Baseball.
Job Description
  • Drive technical roadmap to extend risk monitoring across identified threat surfaces.
  • Develop/experiment/ship state-of-the-art prediction models
  • Use excellent data science practices to iteratively produce high performing models
  • Create immediate impact through sound and practical deliveries of risk monitors
  • Work with engineering colleagues to convey findings through data visualizations
  • Measure, tune and refine existing algorithms to incrementally improve performance
  • Analyze new and existing data after extracting. transforming and combining it in novel ways
  • Convey needs to engineering and operations teams to ensure healthy feedback loops
  • Attract and onboard new talent while preserving and enhancing existing culture
  • Build strong partnerships and collaborate with other teams across the enterprise
  • Demonstrate sense ownership and personal accountability for your team's work

Qualifications
Basic Qualifications:
  • 5+ years applied data science experience, including 3 years of advanced analytics experience focused on enterprise-specific problem solving
  • 2+ years management, mentoring, or other closely related team or people leadership experience
  • Experience in machine learning (supervised, semi-supervised or unsupervised learning)
  • Strong communication, delivery management, and leadership skills

Preferred Qualifications
  • A bachelor's degree, MSc or Ph.D. in Statistics, Data Science, Artificial Intelligence, or equivalent alternative education or experience
  • Applied experience with SQL, also Python or R or Scala, and modern data science tools/packages e.g. PyTorch, Transformers, TensorFlow, scikit-learn
  • Applied experience with Databricks and/or Azure ML
  • Strong coding abilities in one or more scripting languages like Python or SQL
  • Understanding of compliance, security, and risk domains along with associated patterns and data elements
  • Understanding of product and services activation, use, and transaction models and data
  • Understanding of statistical analysis and machine learning tools and practices
  • Understanding of Cloud-centric data processing and visualization approaches including SQL and NoSQL databases with exposure to Azure SQL, Azure Cosmos DB, Data Factory, Synapse, Azure Data Lake, etc
  • Familiarity with Agile software delivery including application lifecycle mgmt (SAFe, Azure DevOps/VSTS, Git)

Additional Information
All your information will be kept confidential according to EEO guidelines.

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