Teamworks Logo

Teamworks

Data Scientist II (Soccer)

Posted Yesterday
Remote
Hiring Remotely in United States
83K-145K Annually
Mid level
Remote
Hiring Remotely in United States
83K-145K Annually
Mid level
Develop statistical and machine learning models using soccer tracking and event data to support player recruitment decisions. Build spatio-temporal models, metrics, analyses, and interpretation tools; validate models; communicate findings to professional club clients; and partner with engineering on cloud deployment and production reliability. The role also includes code review, model maintenance, and advancing analytical methods.
The summary above was generated by AI

We're hiring a Data Scientist II on our Soccer team to develop the statistical and machine learning models our partner clubs use for player recruitment. I'm Jacob Mortensen, Senior Manager, Data Science at Teamworks. Our team primarily focuses on building models using both player tracking data and event data to identify undervalued players and characterize the skills that make them effective. The work supports high-stakes recruitment decisions for professional clubs across global football.

The team is managing growing demand from partner clubs alongside model maintenance and new development. This hire will take ownership across the model lifecycle, from design and validation through deployment and improvement. That added capacity will help us move important initiatives forward while keeping our existing models accurate and reliable.

The Role
  • Develop statistical and machine learning models that help professional soccer clubs identify undervalued players and strong recruitment targets

  • Use player tracking data to build spatio-temporal models that quantify player impact and skill

  • Build metrics and analyses that soccer teams rely on to make decisions, and support client-facing work by building tools to support model interpretation and understanding

  • Validate models and outputs — your own and others’ — with enough rigor that the team can trust what ships

  • Write clear reports that communicate technical work to clients

  • Partner with our engineering team to deploy models on cloud infrastructure and turn strong analytical work into reliable production systems

  • Review code from other data scientists, share constructive feedback, and contribute ideas that advance the team's work

What I'm Looking ForWhat You Must Bring
  • 3+ years of professional or research experience writing code in R or Python for data science, statistics, or machine learning work

  • Comfort with SQL for building and querying structured data

  • Strong data science fundamentals: you understand how models work, what they need from the data, and how to set data up to support them

  • Experience working with sports tracking data, including understanding the kinds of models typically built and the data challenges that come with them

  • Strong communication skills — you'll be explaining modeling decisions directly to partner clubs, not just internal teammates

Even Better If
  • You have direct experience with soccer data or soccer analytics (inside a team, public work, or academically)

  • You have a demonstrated track record of tackling hard problems through published research, blog posts, conference talks, or public projects

  • Experience using a cloud compute provider (e.g. AWS or Google Cloud) to train and deploy models

  • Comfort using AI coding tools, paired with the judgment to recognize when their output needs to be questioned or corrected

Why This Role

Soccer analytics is moving quickly, and this team is helping shape how advanced modeling is used in recruitment. You'll have meaningful ownership, room to develop new approaches, and the opportunity to see your work used by professional clubs. You'll also help define how the team builds, maintains, and scales its model portfolio as demand grows.

This role is not eligible for sponsorship at this time.


To all recruitment agencies: Teamworks does not accept agency resumes. Please do not forward resumes to our jobs alias, Teamworks employees or any other organization location. Teamworks is not responsible for any fees related to unsolicited resumes.


About Teamworks

We're the Operating System for Sports™, powering 7,000+ organizations worldwide, from collegiate programs to every major pro league. Founded in 2006, we've evolved from a messaging tool for college football into the leading sports tech platform, with 600+ global teammates building the future of sports tech. Our solutions span Personnel, Coaching, Performance, Operations, and Intelligence - helping teams recruit smarter, train better, stay compliant, and win.
Teamworks is an equal opportunity employer - if you live our core values every day and are honest, hardworking, humble, committed, innovative, and an all-around exceptional person, you'll thrive at Teamworks. We are committed to building a diverse and inclusive workforce and take affirmative action to not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics. This policy applies to all employment practices within our organization, including but not limited to recruiting, hiring, promotion, termination, compensation, benefits, and training. Teamworks is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email [email protected].

Similar Jobs

4 Minutes Ago
Remote or Hybrid
245K-307K Annually
Senior level
245K-307K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Leads and develops multiple teams of product-focused software engineers building customer-facing shopping technology. Oversees full-stack development, cloud deployments, microservices modernization, enterprise architecture, scalability, resilience, and technical strategy. Partners with product and business leaders to align roadmaps with technology capabilities, establishes engineering standards, mentors senior engineers, and drives talent development, innovation, and succession planning.
Top Skills: Agentic Ai Coding ToolsAWSBig DataC#GoGCPJavaJavaScriptJSONMachine LearningMicroservicesAzureNetworking ProtocolsNode.jsNosql DatabasesPythonReactRelational DatabasesRestRustScalaSpa FrameworksTypescript
4 Minutes Ago
Remote or Hybrid
245K-307K Annually
Senior level
245K-307K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Leads technical vision and architecture for complex software systems, ensuring scalable, operable, high-quality implementations. Modernizes monoliths into microservices and event-driven platforms, defines platform strategy and API standards, leads cross-domain initiatives, and mentors engineers. The role requires deep expertise in software engineering, solution and enterprise architecture, cloud computing, data architecture, distributed systems, and full lifecycle development.
Top Skills: Agentic Ai Coding ToolsAPIsAWSC#DatabasesDistributed SystemsEvent-Driven ArchitecturesGoGCPJavaJavaScriptMachine Learning SystemsMicroservicesAzureNetworking ProtocolsPythonRustScalaSpa FrameworksTypescriptVirtualization Technologies
4 Minutes Ago
Remote or Hybrid
245K-307K Annually
Senior level
245K-307K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Leads and develops multiple teams of full-stack software engineers building customer-facing shopping technology. Responsibilities include mentoring engineers, partnering with product managers, improving engineering practices, designing scalable and resilient solutions, deploying applications to cloud environments, modernizing monoliths into microservices, and guiding architecture, testing, production support, and innovation across Agile teams.
Top Skills: AgileAWSBig DataC#Distributed SystemsGoGCPHpcJavaJavaScriptJSONMachine LearningMicroservicesAzureNetworking ProtocolsNode.jsNosql DatabasesPythonReactRelational DatabasesRestRustScalaSpa FrameworksTypescriptVirtualization Technologies

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account