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Business Analyst

Atlanta, GA · On-site

... Analyzes science, engineering, business, and all other data processing problems to determine ... Knowledge of MLB/Apollo * Ability to share consistent information flows * Clearly articulates and ...

CSA Global LLC

Operations Manager IV

Arlington, VA · On-site

... PEO MLB) at Naval Support Facility Arlington, VA. The Operations Manager IV will provide senior ... ADE consolidates MyNavyHR data into a secure, cloud-based Infrastructure as a Service (IaaS ...

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CSA Global LLC

Operations Manager IV

Arlington, VA · Hybrid

... PEO MLB) at Naval Support Facility Arlington, VA. The Operations Manager IV will provide senior ... ADE consolidates MyNavyHR data into a secure, cloud-based Infrastructure as a Service (IaaS ...

Apple

Component Quality Engineer

Cupertino, CA · On-site

Apple is seeking a Component and MLB Quality Engineer with a strong background in electrical design ... Science Preferred Qualifications Knowledge of the properties and processes used in both ...

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Mlb Data Science information

What is an MLB Data Science job?

An MLB Data Science job involves analyzing baseball data to provide insights that can improve team performance, player evaluation, and strategic decision-making. Data scientists in MLB work with large datasets, including player statistics, game data, and biomechanics, using machine learning, statistical modeling, and data visualization. They collaborate with coaches, scouts, and front-office personnel to translate data into actionable strategies. This role requires expertise in programming languages like Python or R, database management, and a deep understanding of baseball analytics.

What are some typical projects or responsibilities for an MLB Data Science role?

In an MLB Data Science role, you can expect to work on a variety of projects such as player performance modeling, injury prediction, opponent analysis, and game strategy optimization. Your daily responsibilities may include collecting and cleaning data from various sources, developing predictive models, and presenting findings to coaches and front office staff. Collaboration is a significant aspect of the job, as you'll often work closely with scouts, coaching staff, and other analysts to translate data into actionable strategies. This dynamic environment offers frequent opportunities to contribute directly to on-field success and influence key organizational decisions.

How much do MLB data operations get paid?

MLB data operations roles typically offer salaries ranging from $50,000 to $100,000 annually, depending on experience, education, and specific responsibilities. Entry-level positions may start lower, while experienced data analysts or scientists can earn higher salaries, especially with skills in statistical analysis, programming, and familiarity with baseball data tools.

What are the key skills and qualifications needed to thrive in the Mlb Data Science position, and why are they important?

To thrive as an MLB Data Science professional, you need a strong background in statistics, data analysis, and machine learning, often supported by a degree in data science, mathematics, or a related field. Mastery of programming languages like Python or R, experience with SQL databases, and familiarity with sports analytics platforms such as Trackman or Statcast are typically essential. Strong problem-solving abilities, communication skills, and a collaborative mindset are key for interpreting results and working with coaches, analysts, or executives. These skills are important for deriving actionable insights from complex data, positively impacting team performance and decision-making within Major League Baseball organizations.

How much do MLB data scientists make?

MLB data scientists typically earn between $70,000 and $120,000 annually, depending on experience, education, and location. They often work with advanced analytics, statistical modeling, and data visualization tools to support team decisions and player performance analysis.

Do MLB teams hire data scientists?

MLB teams do hire data scientists to analyze player performance, game strategies, and team operations using statistical tools and data analysis techniques. These roles often require skills in programming, data modeling, and knowledge of baseball metrics, and they contribute to decision-making and competitive advantage.

How to become an MLB data analyst?

To become an MLB data analyst, candidates typically need a strong background in statistics, data analysis, or related fields, often holding a bachelor's degree in statistics, computer science, or a similar discipline. Proficiency in programming languages such as Python or R, experience with data visualization tools, and knowledge of baseball metrics are important. Gaining experience through internships or projects related to sports analytics can also improve prospects in this specialized field.
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Mlb Data Science jobs near you

Director, Product Management - Commercial & International Growth

Fanatics Collectibles

New York, NY

$254K - $266K/yr

Other

Posted 21 days ago

Job description

About the Team

Fanatics Collectibles is building the future of trading cards and scaling fast. Our licenses span MLB, NBA, NFL, Premier League, UEFA, WWE, UFC, and more. To power this growth, we're modernizing Topps, one of the most storied brands in sports and entertainment collectibles. As trading cards evolve from a nearly 100-year-old analog craft into a technology-driven, global business, we are rebuilding the systems that power how cards are sold, priced, and distributed across a complex global commercial ecosystem.

We are hiring a Director of Product Management to own the commercial product portfolio that drives revenue growth, pricing intelligence, financial planning, and international expansion across Fanatics Collectibles. This is a senior people-leadership role with endto-end accountability for the product strategy and execution that powers how Topps goes to market.

 What You'll Do
  • Own the end-to-end product portfolio that powers commercial growth, including the internal enterprise systems that drive sales, pricing, customer intelligence, financial planning, and global market expansion.
  • Set the product strategy for how Fanatics Collectibles grows B2B revenue, defends margin, and expands into priority international markets.
  • Drive international expansion as a cross-functional product effort, going beyond feature localization to define the operating model, tooling, and partner integrations needed to make new geographies successful from launch through scale.
  • Build and scale the Finance product portfolio that powers FP&A, planning cycles, and revenue projections, in deep partnership with the CFO organization.
  • Develop a high-performing product team through hands-on coaching, clear performance standards, and deliberate investment in PMs' growth into senior operators.
  • Lead communications and stakeholder management with senior leadership across the commercial organization.
  • Apply AI and automation across the portfolio, identifying high-leverage opportunities to remove manual work, accelerate decision-making, and unlock new commercial capabilities (e.g., intelligent pricing, seller insights, predictive allocation).
  • Operate as a senior leader within the Product organization, contributing to org-wide strategy, hiring, and culture, and representing the commercial portfolio at the executive level.
What We're Looking For
  • 10 to 15 years of product management experience, including 3 to 5+ years in a senior product leadership role (Director or equivalent) with direct people management responsibility.
  • Demonstrated success building and scaling enterprise sales, pricing, or finance-adjacent product portfolios, ideally in industries with complex go-to-market motions, multi-channel distribution, or global operations.
  • Track record of leading international expansion work, including the operational, financial, and GTM complexity that comes with new market entry.
  • Strong technical fluency and an ability to partner effectively with leaders across engineering, data science, and analytics.
  • Executive presence and excellent communication skills, both written and verbal, with the ability to clearly and confidently engage at the C-suite level.
  • Experience leading through growth, ambiguity, and change, particularly in organizations undergoing digital transformation, platform modernization, or international expansion.
  • Passion for trading cards and collectibles, or a demonstrated eagerness to become a world-class expert in this space. Deep curiosity and commitment to mastering this domain is essential.

Ensure your Fanatics job offer is legitimate and don't fall victim to fraud.  Fanatics never seeks payment from job applicants. Feel free to ask your recruiter for a phone call or other type of communication for interview, and ensure your communication is coming from a Fanatics email address (including @collectfanatics.com).  For added security, where possible, apply through our company website at www.fanaticsinc.com/careers

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