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Baseball Data Science Jobs in Michigan (NOW HIRING)

... 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 ...

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.

Do MLB teams hire data scientists?

MLB teams do hire data scientists to analyze player performance, game strategies, and team statistics. These professionals often use tools like R, Python, and SQL, and may work closely with sports analysts and coaches to inform decision-making.

How much do baseball data scientists make?

Baseball data scientists typically earn between $70,000 and $120,000 annually, depending on experience, education, and the level of the organization. Senior roles or those in major league organizations can earn higher salaries, often exceeding $150,000. Skills in statistics, programming, and sports analytics tools are important for this role.

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:
Infographic showing various Baseball Data Science job openings in Michigan as of July 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution.
Product Manager

Full-time

Re-posted 22 days ago


Job description

***This is an on-site position, NOT remote/hybrid***

Travel: 15% (Domestic trade shows, supplier visits, athlete/coach insights)

Job Description

The Product Manager is responsible for owning the full product life cycle of Epoch Sports’ hard-goods equipment (e.g., lacrosse, hockey, and baseball/softball lines) from concept through end-of-life. Operating out of our Detroit headquarters and collaborating daily with Engineering, Design, Manufacturing, Marketing, Sales, and Finance, the Product Manager will translate athlete insights and market analytics into profitable, best-in-class products that reinforce Epoch’s reputation for performance and innovation.

Key Responsibilities

  • Strategy & Road-Mapping
    • Build and maintain a 3-year product roadmap aligned with corporate strategy, category trends, and revenue/profit targets.
    • Conduct market segmentation, competitor benchmarking, pricing analysis, and consumer research to identify white-space opportunities
  • New Product Development (NPD)
    • Author product briefs with clear value propositions, feature sets, volumes, cost targets, and launch timing; secure cross-functional approval through stage-gate process.
    • Serve as the Program Manager for assigned NPD projects—driving timeline adherence, risk mitigation, and milestone communication.
    • Champion voice-of-customer (VOC) testing with athletes, coaches, and dealers; translate feedback into actionable design requirements.
  • Lifecycle Management
    • Monitor sell-through, margin, and inventory health post-launch; drive cost-reduction, line extensions, or end-of-life decisions.
    • Collaborate with Operations and Finance to manage SKU rationalization and maintain optimal inventory turns.
  • Commercial Readiness
    • Partner with Marketing to build go-to-market (GTM) assets—positioning statements, feature/benefit narratives, packaging, POP, and digital content.
    • Train Sales Reps, Customer Service, and Retail Partners on product knowledge, differentiation, and competitive advantages.
    • Source additional manufacturing equipment to bring products to market.
  • Financial Ownership
    • Own P&L for assigned categories—set pricing, forecast volumes, track COGS, and optimize gross margin.
    • Prepare business cases and ROI analyses for capital expenditures or tooling investments.
  • Continuous Improvement & Innovation
    • Stay abreast of emerging materials, technologies, and consumer trends; recommend patent or IP opportunities.
    • Facilitate cross-functional retrospectives to capture lessons learned and refine the Product Development Process (PDP).

Qualifications

  • Bachelor’s degree in Business, Engineering, Industrial Design, Sports Management, or a related field.
  • 3–5 years of product management experience in consumer goods; sporting-goods or performance equipment strongly preferred.
  • Demonstrated success launching products from concept through commercialization with measurable revenue impact.
  • Proficiency in data analytics tools (Excel, Power BI, Tableau, or similar) and familiarity with PLM/ERP systems.
  • Strong project-management skills—ability to lead cross-functional teams, manage overlapping priorities, and hit aggressive timelines.
  • Excellent written and verbal communication skills; comfortable presenting to executives, retailers, and end-users.
  • Passion for sports and understanding of athlete performance needs; lacrosse, hockey, or baseball background a plus.

Preferred Qualifications

  • MBA or Master’s in Product Design/Engineering.
  • Experience with Lean Product Development or Agile methodologies.
  • Knowledge of materials science (composites, polymers), protective equipment standards, or sports governing-body certification processes (NOCSAE, ASTM, CSA).

Work Environment and Physical Demands

  • Office, R&D lab, and production floor settings; may require occasional use of PPE
  • Ability to lift up to 25 lbs. for product samples/field testing
  • Willingness to attend weekend tournaments, clinics, and trade shows several times per year.

Eccalon logo

About Eccalon

Sourced by ZipRecruiter

We are a cross-functional collective of innovative minds that leverages technology to tackle the most challenging problems of this generation for clients, the nation, and the world. Eccalon fosters creativity, curiosity, and imagination across all departments and divisions to pioneer new ideas, products, and services. We advance innovation.​

Industry

Guided missile and space vehicle manufacturing

Company size

11 - 50 Employees

Headquarters location

Hanover, MD, US

Year founded

2017