ZipRecruiter

Log In

1

Baseball Data Science Jobs in Michigan (NOW HIRING)

Eccalon LLC

Product Manager

Detroit, MI · On-site

... baseball/softball lines) from concept through end-of-life. Operating out of our Detroit ... Proficiency in data analytics tools (Excel, Power BI, Tableau, or similar) and familiarity with PLM ...

All JobsBaseball Data Science JobsBaseball Data Science Jobs in Michigan

Baseball Data Science information

How do baseball data scientists typically 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 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 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 to become an MLB data analyst?

To become an MLB data analyst, candidates typically need a strong background in statistics, data analysis, or computer science, often with a bachelor's degree in a related field. Proficiency in programming languages such as Python or R, experience with sports data, and knowledge of baseball metrics are important. Gaining experience through internships or projects and understanding baseball analytics tools like Statcast or TrackMan can improve job prospects.

How is data science used in baseball?

In baseball data science involves analyzing player and game data to improve team strategies, player performance, and scouting. Data scientists use statistical models, machine learning, and visualization tools to identify patterns and make data-driven decisions that enhance team success.

How much do MLB statisticians make?

MLB statisticians typically earn between $50,000 and $100,000 annually, depending on experience, role, and team size. Many work as part-time consultants or analysts, often utilizing data analysis tools and statistical software to support team strategies and player evaluations.

How much do MLB data scientists make?

MLB data scientists typically earn between $70,000 and $120,000 annually, depending on experience, education, and the level of responsibility. Salaries can vary based on the organization, location, and whether they have specialized skills in statistics, programming, or sports analytics tools.

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 are popular job titles related to Baseball Data Science jobs in Michigan? For Baseball Data Science jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Baseball Data Science jobs in Michigan look for? The top searched job categories for Baseball Data Science jobs in Michigan are:
Baseball Data Science jobs near you

Senior Full Stack Software Engineer

GripFusion

Ann Arbor, MI • On-site

$120K - $180K/yr

Full-time

Posted 13 days ago

Job description

GripFusion is a sports-technology startup building next-generation intelligent sporting equipment that combines pioneering grip sensors, advanced electronics, and personalized analytics to transform how athletes train, perform, and stay healthy. We operate at the intersection of hardware, software, data science, and applied biomechanics, turning high-resolution grip and motion data into actionable performance insights. We are well-funded for the next phase of growth and are seeking exceptionally talented and highly motivated individuals to help shape the future of sports tech.

This Senior Software Developer position is an opportunity to play a key role in a small but growing company to build an innovative and fun product. This is a role for a full-stack generalist with a poligot' mindset and a diverse skill set who is interested in working in a fast-paced, dynamic environment to create a cutting-edge product. This senior individual contributor position is in-person in Ann Arbor, MI.

Responsibilities

In this role you will:

  • Create functionality to support new software features (mobile and web)
  • Manage data infrastructure and work with Data Scientist/Signal Processing Engineer to incorporate analytical functionality into the product
  • Provide dev ops and other operational support to keep everything running smoothly
  • Evaluate tools and technologies for future use
  • Mentor and develop junior engineers as they are hired

Desired Technical Requirements:

  • 5+ years of experience with full-stack software development, creating both native iOS and Android applications and web applications
  • 5+ years' experience with relational databases, preferably including familiarity with PostgreSQL
  • Expert level knowledge of Typescript, React, React Native + Expo, Python
  • Experience building and maintaining a cloud-based software infrastructure, preferably using Amazon Web Services
  • Experience incorporating high-dimensional device/hardware data into software products
  • Work with mobile video
  • 3D graphics (three.js) for interactive visuals and modeling
  • Hardware and BLE device experience
  • Digital signal processing
  • Working knowledge of secure coding principles
  • Practitioner of Agile, Test Driven Development, Continuous Integration. Comfortable using AI to accelerate efforts.

Desired Non-Technical Skills:

  • Some familiarity or interest in sports, especially baseball or softball
  • Ability to learn, adapt, and thrive in a dynamic and collaborative environment
  • Work with stakeholders to incorpate new features
  • Commitment to providing good UI/UX for the end user
  • Strong problem solving skills including identifying problems and developing and evaluating options
  • Good interpersonal skills including the ability to work as a member of a fast moving team.
  • A strong commitment to quality
  • A desire to learn new things and interest in the latest technologies
  • Written and oral communication skills including the ability to be persuasive and adapt communications to the audience and issue
  • Ability to manage your time effectively

Qualifications:

  • Bachelor or Masters degree in technical program or equivalent experience
  • 5+ years of working experience

GripFusion is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.