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The operating system for high-performance organizations.
Data Scientist (Intelligence) - Remote
Location
United States
Posted
120 days ago
Salary
$120K - $160K / year
Seniority
Mid Level
Job Description
Data Scientist (Intelligence) - Remote
Teamworks
Teamworks, the Operating System for Sports™, powers more than 6,500 sports organizations worldwide, including collegiate athletic departments and teams across all major professional leagues. With almost 500 exceptional employees located in over a dozen different countries, Teamworks’ software solutions drive the operations of the most recognizable sports properties in the world. Teamworks Intelligence, formerly Zelus Analytics, is the sports analytics division of Teamworks, focused on delivering cutting-edge insights to elite teams through advanced data science. We use advanced machine learning to deliver sport-specific predictive models and metrics that inform everything from athlete evaluation and roster construction to contract valuation and game strategy. We're hiring Data Scientists at all levels across multiple sports—including Football, Baseball, Basketball, and Ice Hockey—to help build the next generation of sports intelligence solutions. These roles offer opportunities to work directly with professional and collegiate teams to provide actionable insights and drive innovation in sports intelligence. This is an exciting opportunity to help shape the future of athlete performance management in one of the fastest-growing companies in sports tech. Game Plan - How You'll Drive Impact: Build end-to-end data science solutions involving predictive models, data retrieval, statistical modeling, and productionalization Design and implement sports analytics tools and metrics for athlete evaluation and roster optimization Lead the design and development of complex, high-impact data science tools involving technically complex methodology Contribute to project design decisions, applying standard patterns and best practices Manage tasks and priorities independently, making strategic decisions with appropriate oversight Actively participate in team discussions and engage in cross-functional collaboration with engineering teams Drive conversations with stakeholders to align technical solutions with business objectives Provide technical mentorship and guidance to data scientists, fostering innovation and best practices Contribute to the evolution of Teamworks Intelligence products through deep product knowledge Solve complex, cross-functional problems and navigate high ambiguity situations Engage with sports operations teams to translate complex analytics into actionable insights for elite performance Work with Python, R, and SQL to build comprehensive sports intelligence solutions Player Profile - What You Bring to the Team: The Perks of Playing for Teamworks: At Teamworks, you’re not just joining a company—you’re joining a team that’s shaping the future of sports. We believe that success starts with investing in our people, and here’s how we support and reward every teammate: Play to Win: Grow your career as we grow. Shape the future of sports technology while building a career that scales with your ambition. Winning Culture: Join a global team of high achievers, innovators, and problem solvers who value teamwork and humility. Competitive Compensation: Earn a competitive salary, performance-based incentives, and equity so you share in our success. Comprehensive Benefits: Access region-specific benefits designed to support your well-being, including health coverage, life and disability insurance, retirement plans, unlimited paid time off, flexible and remote work options, catered lunches (where applicable), and more. Investing in Your Growth: Receive stipends for learning and development, home office equipment, and company gear to set you up for success—no matter where you are in the world. Compensation Philosophy: For this role, the salary range is $120,000 to $160,000, with your final offer determined by your experience, skills, and interview performance. We’ve built our compensation framework to attract, retain, and reward top performers. We believe in pay for performance, ensuring that your growth and impact are reflected in your rewards. As Teamworks grows, so do your opportunities—whether that’s through advancing your career, contributing to game-changing innovations, or building long-term financial security. We continuously review and refine our compensation practices to ensure fairness and alignment with both company goals and individual aspirations. We encourage open discussions about career growth and compensation, and your hiring manager is always available to answer your questions. At Teamworks, we’re committed to supporting you in and out of the game—empowering you to do your best work while enjoying meaningful rewards. Inside our Locker Room: Teamworks is the leading operating system for elite sports, empowering organizations worldwide to optimize performance, streamline operations, and unlock athlete potential. Founded in 2006, we’ve grown from a messaging platform for collegiate football into a global leader with over $165 million in funding and a technology suite that supports every phase of the athlete lifecycle. Our solutions span four key categories: Personnel : Manage the complete roster lifecycle, from recruiting and NIL management to financial operations. Performance : Optimize athlete health and training with advanced tools for nutrition, strength & conditioning, and holistic performance tracking. Operations: Streamline logistics, communication, compliance, and inventory management to keep teams running efficiently. Intelligence : Leverage data-driven insights to inform decisions and maximize competitive advantage across professional and collegiate sports. At Teamworks, we’re driven by innovation and a passion for sports. We serve more than 6,500 sports organizations globally, helping teams achieve excellence on and off the field. Join us and be part of the future of sports technology. Our offices are open for work, collaboration, and optional team-building events – but as a remote-first company, we also have teammates working from places across the globe, including New York, London, Perth, and Austin. What to Expect When Interviewing at Teamworks Our interview process is designed to be transparent, engaging, and reflective of our team culture. You can expect authentic conversations, clear steps, and the opportunity to connect with key team members. We encourage you to ask questions and get to know us as much as we get to know you. Learn more about our process here . 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 hiring@teamworks.com. To all recruitment agencies: Teamworks does not accept agency resumes. Please do not forward resumes to our jobs alias, Teamwork employees or any other organization location. Teamworks is not responsible for any fees related to unsolicited resumes.
Job Requirements
- Strong to extensive experience working with sports data and analytics, with understanding of athlete evaluation methodologies
- Solid to deep foundation in statistical modeling, machine learning techniques, optimization, and predictive analytics
- Proficiency in building and implementing data science solutions from concept to deployment
- Experience working with large, complex datasets, database systems, and tracking data
- Advanced proficiency in cloud-based computing platforms for large-scale data processing and model deployment
- Ability to communicate technical concepts effectively to both technical and non-technical stakeholders
- Understanding of collaborative development practices including version control and code review processes
- Proven track record of leading complex data science projects from conception through production
- Strong technical leadership skills with experience mentoring and developing team members
- Excellent communication abilities, with proven success translating technical findings to sports operations stakeholders
- The Ideal Recruit - Skills & Experience:
- Advanced degree (Master's or PhD) in Statistics, Data Science, Computer Science, or related quantitative field
- Demonstrated experience applying data science techniques to sports analytics or similar domains
- Familiarity with distributed computing concepts and cloud-based data processing
- Experience with sports tracking data, athlete evaluation metrics, or team analytics
- Understanding of Agile project management methodologies
- Track record of delivering data science projects from concept to production
- Experience in sports analytics with professional or collegiate teams is highly valued
- Expertise in MLOps practices and production-scale model deployment is a plus
- Track record of publishing research or presenting at sports analytics conferences is a plus
- Proven ability to mentor team members and lead technical initiatives is a plus
- Champion Mindset - Traits for Success:
- Curiosity and passion for sports and data-driven insights
- Strong work ethic and commitment to delivering high-quality results
- Collaborative mindset with ability to learn from and support teammates
- Adaptability and openness to feedback in a dynamic environment
- Self-motivated with ability to manage priorities and deliver results
- Excellent communication skills and strategic thinking capabilities
- Visionary mindset with ability to identify and drive innovative research opportunities
- Strong leadership qualities with commitment to developing and mentoring team members
- Passion for pushing the boundaries of sports analytics and contributing to the broader data science community
- Aligned with our core values: honesty, humility, hard work, commitment, innovation, and exceptionalism
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