Analyst, International Baseball Strategy & Information
About The Position
The Baseball Strategy and Information team of the Los Angeles Dodgers is responsible for supporting Major League Coaches, Baseball Operations Leadership, and multiple other key stakeholders with data and information needed for strategic decision making. As an Analyst, you will take on a brand-new role focused on advancing the statistical rigor we bring to international scouting. This is an early-career role for someone who can help us audit, consolidate, and validate data, and can help build real infrastructure, not just run existing reports. The best candidates will be able to bring expertise that allows them to contribute across Baseball Operations.
Requirements
- B.A. or B.S. in mathematics, economics, statistics, computer science, data science, operations research, or a related quantitative-field.
- 0-3 years of experience with strong quantitative/statistics/data science training
- Comfortable writing production-quality SQL and Python or R
- Experience with data pipelines, ETL, or dbt-style workflows a strong plus
- Genuine interest in baseball and international markets — you don't need scouting/evaluation ability, but you should understand signing dynamics, international free agency rules, and the leagues/markets involved
- Comfortable with ambiguity — this role starts with "we don't fully know what we have," not a clean spec
- Able to communicate technical findings and recommendations to non-technical baseball people
- Ability to relocate to Los Angeles and commute to Dodger Stadium
- Ability to work a varied schedule including evenings, weekends, and holidays.
Nice To Haves
- fluency in Spanish or Japanese
- prior work with geographically distributed / multi-source data
- experience with cloud data infra (AWS S3/RDS/Lambda) or BI/dashboard tools.
Responsibilities
- Inventory every international scouting data source we currently purchase or have access to
- Verify what's being ingested, where it lives, whether it's accurate, and how it's being used
- Build data quality and validation checks so we have confidence in what we're looking at, and leverage existing internal tools for this.
- Identify gaps — data we don't have but should, including evaluating new vendors or scraping/collecting publicly available sources
- Build tools that let scouts, coordinators, and analysts explore historical trends by combinations of country, league, position, age, and signing bonus
- Make this data self-serve for non-technical stakeholders, not locked in a notebook only you can run
- Contribute to building broader valuation and projection models for international players.
- Advance our understanding of league translations, bonus pool allocation strategies, and leveraging biomechanical data into our evaluations and projections.
- Write code daily — SQL for data work, Python/R for analysis, some blend of manual coding and AI-assisted development
- Work closely with international scouts, analysts, and data engineering/IT
- Translate ambiguous baseball questions ("what's the track record of X archetype") into data pipelines and analysis
- Present findings to non-technical stakeholders (scouts, coordinators) in usable form
Benefits
- Full-Time/Non-Union
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
