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Baseball Data Science Jobs in Georgia (NOW HIRING)

Maven Baseball Lab

Embedded Software Engineer

Atlanta, GA · On-site

$126K - $166K/yr

... data-driven training plans and drill libraries accessible via the Maven app. Maven Baseball seeks a ... Bachelor's degree in computer science, computer/electrical engineering, related field or equivalent ...

Visionist, Inc.

Senior Software Engineer

Augusta, GA · On-site

$170K - $240K/yr

... Database Administration, Data Science and Knowledge Management, Enterprise Risk Management ... Join a company that feels like a family with regular happy hours, baseball games, activity clubs ...

Visionist, Inc.

Senior Software Engineer

Augusta, GA

$170K - $240K/yr

... Database Administration, Data Science and Knowledge Management, Enterprise Risk Management ... Join a company that feels like a family with regular happy hours, baseball games, activity clubs ...

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Baseball Data Science information

What is baseball data science?

Baseball data science is the application of statistical analysis, machine learning, and data management techniques to baseball data to gain insights, improve player performance, and inform team strategies. Data scientists in baseball analyze large datasets such as player statistics, pitch tracking, and game outcomes to uncover patterns and make predictions. Their work supports coaching decisions, scouting, player health monitoring, and front office operations. Baseball data science has become increasingly important with the rise of advanced metrics and technologies like Statcast.

How do baseball data scientists collaborate with coaches and players to translate analytics into on-field improvements?

Baseball data scientists often work closely with coaches and players by presenting data-driven insights in accessible ways, such as visualizations or concise reports. They help translate complex analytics into actionable strategies, like adjusting swing mechanics or defensive positioning. Regular meetings and open communication are key, as data scientists must ensure their recommendations align with team goals and player capabilities. This collaborative approach not only bridges the gap between data and performance but also fosters a culture of continuous improvement.

What are the key skills and qualifications needed to thrive as a baseball data scientist, and why are they important?

To thrive as a Baseball Data Scientist, you need a strong background in statistics, data analysis, and computer science, often supported by a degree in a quantitative field. Familiarity with programming languages like Python or R, experience with SQL databases, and proficiency in data visualization tools are typically required. Strong communication, problem-solving abilities, and a passion for baseball analytics make candidates stand out. These skills are crucial for extracting actionable insights from complex data, supporting decision-making, and driving competitive advantage in baseball operations.

What is the difference between Baseball Data Science vs Baseball Analytics?

AspectBaseball Data ScienceBaseball Analytics
Required CredentialsDegree in Data Science, Statistics, or related fieldDegree in Sports Management, Analytics, or related field
Work EnvironmentData-driven teams, sports organizations, research labsTeam analysis departments, sports teams, consulting firms
Employer & Industry UsageMajor league teams, sports analytics companies, research institutionsMajor league teams, sports media, consulting firms

Baseball Data Science focuses on advanced statistical modeling, machine learning, and data engineering to uncover insights from complex datasets. Baseball Analytics often emphasizes performance metrics, game strategy, and player evaluation using statistical tools. While both roles overlap, Data Science tends to involve more technical data manipulation, whereas Analytics centers on applying insights to game strategies and player decisions.

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

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

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

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

What cities in Georgia are hiring for Baseball Data Science jobs?

Cities in Georgia with the most Baseball Data Science job openings:

Infographic showing various Baseball Data Science job openings in Georgia as of August 2026, with employment types broken down into 11% Internship, 53% Full Time, and 36% Part Time. Highlights an 100% In-person job distribution.

Embedded Software Engineer

Atlanta, GA • On-site

Maven Baseball Lab
See more jobs at Maven Baseball Labexternal

$126K - $166K/yr

Other

Posted 11 days ago

Job description

Maven Baseball is an Atlanta-based sports tech company that uses 3D motion capture and force plates to analyze and improve player performance. Baseball players undergo a 12-swing or 12-pitch assessment to generate personalized "Maven Scores" along with actionable, data-driven training plans and drill libraries accessible via the Maven app.

Maven Baseball seeks a highly-motivated early-career Embedded Software Engineer (new grad to ~2 years of experience) to work on our capture labs — the high-speed camera and force-plate systems behind every Maven assessment.

This position is responsible for developing and maintaining Maven's real-time multi-camera capture software, debugging problems at the hardware/software boundary, scaling fleet infrastructure, and helping install and bring up new labs on-site.

WHAT YOU'LL DO
  • Develop, test and maintain Maven's C++ capture software: synchronized multi-camera acquisition at 300 fps, GPU video encoding, force-plate integrations, and a multi-stage post-capture processing pipeline.
  • Investigate and fix problems where hardware meets software using logs, instrumentation and measurement.
  • Travel to partner facilities to install new labs: 2–3 day on-site builds, followed by debugging until everything works.
  • Build and maintain our fleet-management software for lab health monitoring, remote updates and provisioning, using technologies such as Go, MQTT, AWS IoT Core, and S3.
  • Write and maintain Python tools for operations, diagnostics and data processing.
  • Contribute to first-of-a-kind hardware projects spanning everything from mechanical prototypes to circuit design.
  • Support the coaches and trainers who operate our labs day-to-day, and turn their bug reports into durable fixes.
WHAT WE'RE LOOKING FOR
  • Bachelor's degree in computer science, computer/electrical engineering, related field or equivalent experience.
  • 0–2 years of experience; new grads are encouraged to apply — we hire for problem-solving ability and trajectory, not years.
  • Proficiency in C++ or another systems language (C, Rust, Go) and a genuine interest in going deep on performance-critical code; working knowledge of Python.
  • Strong debugging skills: methodical, evidence-driven, and comfortable with problems that don't reproduce on demand.
  • Hands-on curiosity about how things work — robotics, embedded projects, 3D printers, PC builds, car or bike repair — it's the interest that counts.
  • Willingness to travel several times a year and do physically demanding install work.
  • Ability to clearly articulate and communicate technical concepts to non-technical users.
  • Excitement to be a part of a tight-knit team tackling new problems every day.
  • Machine vision or camera experience, GPU programming, networking (time synchronization, high-bandwidth capture), hands-on electronics, or a baseball background are a plus.
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