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Senior Data Scientist — Model Evaluation

Role overview

Qualifications

  • Strong statistical foundations: Calibration, bootstrapping, inter-rater reliability
  • Track record contributing to model evaluation on a production ML team
  • Production ML pipeline experience
  • Self-starter, takes strategic direction and shapes their own path

Responsibilities

  • Contribute to model evaluation across our football models
  • Build and extend the tooling we use to test, compare, and ship models
  • Work with football subject-matter experts to design evaluation that reflects how the models will actually get used
  • Build the experimentation harness that lets the team test many ideas fast

About the company

SumerSports LLC logo

SumerSports LLC

SūmerSports is reshaping how professional and collegiate sports teams construct their rosters. Our top-tier data-driven platform empowers teams with invaluable insights and tools to make informed decisions while adhering to salary cap constraints. The platform will also service the NCAA, offering insights and recommendations around the transfer portal and much more. What sets us apart is our unique blend of big tech talent, data scientists, and former NFL personnel like John Idzik and Mike Mayock, who have a combined over 600 years of NFL experience. This unparalleled domain knowledge is seamlessly augmented by AI and machine learning technologies. Elevate your team's performance today with SūmerSports – where cutting-edge analytics converges with decades of real-world NFL experience, empowering you to outsmart the competition.

Company details

Company size11 - 50

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Job description

SumerSports is a leading football intelligence technology company that specializes in providing an innovative suite of products for football fans and NFL clubs. We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs, technology startups, finance, and academia. 


Our data-driven platform empowers teams with insights and tools to make informed decisions within salary cap constraints. The platform also serves the NCAA, offering insights around the transfer portal and more.


What sets us apart is our unique blend of big tech talent, data scientists, and former NFL personnel, who have a combined 600+ years of NFL experience. Our domain knowledge is augmented by AI and machine learning technologies to create a unique view into many aspects of Football.


Position Summary


The Senior Data Scientist will be focused on model evaluation and quality for our football ML models. You'll

contribute to the work that sits between research and production, making sure the models we ship measure what we think they measure. We believe good research is less about having the perfect idea and more about building a rigorous

system for testing ideas. Ideas are plentiful. The real work is designing experiments, learning quickly,

and following the evidence.


Responsibilities

  • Contribute to model evaluation across our football models. Drive one or two threads end-to-end.
  • Build and extend the tooling we use to test, compare, and ship models.
  • Work with football subject-matter experts to design evaluation that reflects how the models will actually get used.
  • Catch silent regressions before they ship.
  • Pushback when a stakeholder asks for a metric that doesn't measure what they think.
  • Build the experimentation harness that lets the team test many ideas fast.


Qualifications

  • Strong statistical foundations. Calibration (reliability and resolution), bootstrapping, inter-rater reliability.
  • Track record contributing to model evaluation on a production ML team.
  • Production ML pipeline experience. You've seen schema drift, label noise, and leakage.
  • You build tooling, not just consume it.
  • Self-starter. Takes strategic direction and shapes their own path.
  • AI-native. Builds skills, loops, and tooling to accelerate evaluation throughput.
  • Stays current with research. Papers, releases, new techniques.
  • Domain absorption capacity. You've gotten fluent on a complex domain (sports, finance, biotech, medical) on a prior job

Bonus Points

  • Football or sports analytics exposure.Experience evaluating tracking-data models.
  • Skill scores for probabilistic forecasts (Brier, etc.).
  • Deep-learning fluency to read training code.
  • Human-in-the-loop ML experience.


Benefits

  • Competitive Salary and Bonus Plan
  • Comprehensive health insurance plan
  • Retirement savings plan (401k) with company match
  • Remote working environment
  • A flexible, unlimited time off policy
  • Generous paid holiday schedule - 13 in total including Monday after the Super Bowl


SumerSports is committed to fair and equitable compensation practices.

Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.


The total compensation package for this position may also include annual performance bonus, benefits and/or other applicable incentive compensation plans.

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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