Product Scientist II, Baseball

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Product Scientist II, Baseball United States, Canada Hi there! I'm Esteban Navarro Garaiz , and I lead the Baseball Intelligence team at Teamworks. Our Intelligence platform is used by MLB teams, NCAA programs, and international clubs to make player personnel and coaching decisions - and this role sits at the center of how that value gets delivered. I'm looking for a Product Scientist with a strong baseball analytics background and the technical acumen to validate model outputs, drive adoption across our partner organizations, build internal reporting, and feed what they learn back into the product in close partnership with our Data Science and Engineering teams. Two immediate priorities: building platform observability and supporting NCAA trial conversions and MLB sales outcomes. We are open to candidates at the senior level if the fit is right! The Role - Own the full client lifecycle for MLB and NCAA partner teams, from onboarding through ongoing adoption, ensuring partners consistently get value from the platform - Build and maintain a unified client health dashboard that consolidates Google Cloud, API, and web application usage into a single view of platform observability - Drive NCAA trial program outcomes in close coordination with Customer Success, with the goal of converting trials to paid partnerships - Validate model outputs and platform releases against baseball intuition before they reach partners, serving as the first internal line of defense - Partner with data scientists and engineers to design statistical validation plans for new and enhanced capabilities - Translate model updates

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