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AEG

Data Science Manager - Market Origination

Atlanta, GA · On-site

$160K - $190K/yr

... MLB, CS2, etc.). * Partner cross-functionally with Product, Engineering, Pricing, and BizOps to ... Strong technical foundation in data science, statistics, or software engineering. * Demonstrated ...

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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.

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.

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Infographic showing various Mlb Data Science job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Senior Manager, Business Intelligence Data Engineering

Senior Manager, Business Intelligence Data Engineering

Washington Nationals Baseball Club

Washington, DC

$115K - $125K/yr

Full-time

Posted yesterday

Job description

The Senior Manager, Business Intelligence & Data Engineering is responsible for architecting, building, and scaling the Nationals’ end-to-end data ecosystem to support strategic decision-making across the organization. This role combines data engineering, analytics, and data science, with ownership of core data products including forecasting models, reporting infrastructure, and business intelligence tools.

This individual will lead the design and development of scalable data pipelines, data models, and machine learning solutions that power revenue-driving functions such as ticket sales, marketing performance, financial planning, and customer retention. The role requires close collaboration with cross-functional stakeholders across Sales, Marketing, Finance, IT, Ticket Operations, and Partnerships to ensure data is effectively ingested, transformed, and delivered in actionable formats.

The Nationals are a military-friendly organization actively recruiting veterans and spouses.

Essential Duties and Responsibilities:

Data Engineering & Architecture

  • Design, build, and maintain scalable data pipelines and ELT workflows using Terraform, Google Cloud Platform, BigQuery, dbt, and Airflow.
  • Own the architecture and optimization of the Nationals’ cloud-based data warehouse and data lake.
  • Ingest and integrate data from key systems including ticketing, CRM, point-of-sale, marketing platforms, and MLB data sources.
  • Ensure data quality, governance, testing, and documentation across all pipelines and datasets.
  • Manage and optimize cloud infrastructure performance and cost efficiency.

Business Intelligence & Reporting

  • Develop and maintain dashboards and reporting solutions in Tableau to support business operations and executive decision-making.
  • Partner with stakeholders to translate business requirements into scalable data models and intuitive visualizations.
  • Enable near real-time reporting across revenue streams and operational metrics.
  • Support financial and operational reporting needs, including budgeting and forecasting workflows.

Data Science & Machine Learning

  • Own and enhance predictive models for:
    • Attendance forecasting
    • Ticket sales and revenue forecasting
    • Customer segmentation and retention
  • Apply statistical and machine learning techniques using Python.
  • Productionize models within the data platform and ensure ongoing monitoring, evaluation, and improvement.
  • Partner with leadership to translate model outputs into actionable business strategies.

Cross-Functional Collaboration

  • Collaborate with Sales, Marketing, Finance, IT, Ticket Operations, and Partnerships to identify opportunities and deliver data-driven solutions.
  • Act as a strategic partner in defining KPIs, measurement frameworks, and experimentation strategies.
  • Work with MLB and external vendors on data integrations and platform enhancements.

Leadership & Team Development

  • Manage and mentor the Analyst, Business Data Systems.
  • Establish best practices in data engineering, analytics, and data science workflows.
  • Foster a high-performing, innovative data culture within Business Strategy & Analytics.

Compensation:

The projected wage range for this position is $115,000 to $125,000 per year. Actual pay is based on several factors, including but not limited to the applicant’s: qualifications, skills, expertise, education/training, certifications, and other organization requirements. Starting salaries for new employees are frequently not at the top of the applicable salary range.

Equal Opportunity Employer:

The Nationals are dedicated to offering equal employment and advancement opportunities to all individuals regardless of their race, color, religion, national origin, sex, age, marital status, personal appearance, sexual orientation, gender identity or expression, family responsibilities, matriculation, political affiliation, genetic information, disability, or any other protected characteristic under applicable law.