Job Posting: Los Angeles Dodgers - Multiple Openings

Job Posting: Los Angeles Dodgers – Multiple Openings

September 16, 2026

Direct links to applications (please see job details below):

Manager, International Baseball Strategy and Information
Analyst, International Baseball Strategy & Information

Manager, International Baseball Strategy and Information

Description
The Los Angeles Dodgers currently have a job opportunity for Manager, International Baseball Strategy and Information. Following you will find a brief description of the job and application process. For additional information, please contact TalentRelations@ladodgers.com.

Title: Manager, International Baseball Strategy and Information
Department: Baseball Strategy & Information
Status: Full-Time/Non-Union
Pay Rate: $120,000 – $135,000
FLSA: Exempt
Reports to: Director, Baseball Strategy and Information/Vice President, Player Personnel
Location: Los Angeles, California
Posting Date: September 15, 2026

Job Summary
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 a Manager, you will take on a brand-new role focused on advancing the statistical rigor and tooling we bring to International Scouting. The ideal candidate will have some experience working with multi-source data, will help us evaluate what priorities should be and what to build next, and will work collaboratively across departments to create tools and reports.

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Essential Duties/Responsibilities:

Data Foundation

Take ownership of understanding what international scouting data we have — across every vendor, internal system, and tool — and determine what’s trustworthy, what’s missing, and what’s not being used
Establish what “data quality” should mean for this function and build the validation processes to get us there, leveraging existing tools when appropriate.
Identify and propose new data sources (vendors, scraping, or otherwise) where you see gaps worth closing

Analytical Tools

Build tools that let scouts, coordinators, and analysts explore historical trends by combinations of country, league, position, age, and signing bonus
Make this self-serve for non-technical stakeholders, not locked in a notebook only you can run
Use your own judgment on where analytical effort is best spent, and bring recommendations rather than waiting to be assigned a specific question

Valuation & Projection

Once the data foundation is solid, lead or significantly contribute to building broader valuation and projection models for international players. This includes but isn’t limited to advancing our understanding league translations, bonus pool allocation strategies, and leveraging biomechanical data into our evaluations and projections.

Day-to-Day

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

Basic Requirements/Qualifications:

Education

B.A. or B.S. in mathematics, economics, statistics, computer science, data science, operations research, or a related quantitative-field.

Work Experience

3-5+ years of experience working with messy, multi-source data — sports/scouting data experience is a plus but not required if the underlying skill set transfers
Strong track record of writing production-quality SQL and Python or R; real experience with data pipelines or ETL
Experience distilling complex analyses into compelling, executive-level narratives and visualizations
A demonstrated history of identifying problems and proposing solutions without being asked — this role rewards initiative, not just execution
A solid understanding of baseball and international markets — you don’t need scouting/evaluation ability, but you should have some knowledge of signing dynamics and the leagues/markets involved
A. or B.S. in mathematics, economics, statistics, computer science, data science, operations research, or a related quantitative-field.
Able to communicate technical findings and recommendations to non-technical baseball people
Ability to spend extended time in Los Angeles for onboarding, if not able to relocate
Ability to work a varied schedule including evenings, weekends, and holidays.
Nice to have: 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.

Current Los Angeles Dodgers employees should apply via the internal job board in UltiPro by following these prompts:

MENU > MYSELF > MY COMPANY > VIEW OPPORTUNITIES > select the position > CONSENT > APPLY NOW

LOS ANGELES DODGERS LLC is an equal opportunity employer.

LOS ANGELES DODGERS LLC is firmly committed to providing equal opportunity for all qualified applicants from every race, creed, and background. LOS ANGELES DODGERS LLC is also firmly committed to complying with all applicable laws and governmental regulations at the state and local levels which prohibit discrimination.

LOS ANGELES DODGERS LLC considers all applicants without regard to national origin, race, color, religion, age, sex, sexual orientation, disability, military status, citizenship status, pregnancy or related medical conditions, marital status, ancestry-ethnicity, or any other characteristic protected by applicable state or federal civil rights law. The Immigration Reform and Control Act requires that LOS ANGELES DODGERS LLC obtain documentation from every individual who is employed, which verifies their identity and authorizes their right to work in the United States.

LOS ANGELES DODGERS LLC is committed to the full inclusion of all qualified individuals. As part of this commitment, LOS ANGELES DODGERS LLC will ensure that persons with disabilities are provided reasonable accommodations for the hiring process. If reasonable accommodation is needed, please contact TalentRelations@ladodgers.com.

To Apply
To apply, please follow this link.

Analyst, International Baseball Strategy & Information

Description
The Los Angeles Dodgers currently have a job opportunity for Analyst, International Baseball Strategy & Information. Following you will find a brief description of the job and application process. For additional information, please contact TalentRelations@ladodgers.com.

Title: Analyst, International Baseball Strategy & Information
Department: Baseball Strategy & Information
Status: Full-Time/Non-Union
Pay Rate: $80,000 – $95,000
FLSA: Non-Exempt
Reports to: Director, Baseball Strategy and Information
Location: Los Angeles, California
Posting Date: September 15, 2026

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.

Essential Duties/Responsibilities:

Phase 1: Data Audit & Quality

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

Phase 2: Exploratory Tools

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

Phase 3: Valuation & Projection

Once the underlying data is trustworthy and well-understood, contribute to building broader valuation and projection models for international players. This includes but isn’t limited to advancing our understanding league translations, bonus pool allocation strategies, and leveraging biomechanical data into our evaluations and projections.