Data Scientist - TrainingPeaks

Company Information

Join the Team Powering the World's Best Endurance Athletes

At Training Peaks, we believe that behind every great athlete is a great coach and the right technology to help them reach their potential. Our platform is trusted by Tour de France winners, Olympic gold medalists, and everyday endurance athletes to plan, track, and analyze their training. Whether you're a performance‑driven athlete, a passionate coach, or someone who simply thrives on building tools that empower others, Training Peaks is where ambition meets impact.

As part of the Peaksware portfolio, consisting of brands like Training Peaks, Make Music, Alfred Music, Train Heroic, we are united by a shared mission: to create software that transforms deliberate practice into performance. At Peaksware, we don’t just build products. We build communities of motivated people chasing progress, including athletes, musicians, performers, and the teams that support them.

Join Training Peaks as a Data Scientist and be at the forefront of revolutionizing endurance coaching. You’ll harness 30 years of rich athlete and coach data to build next‑generation AI and machine‑learning tools that empower the world’s most elite performers. In this role, you won’t just analyze numbers—you’ll lead high‑impact projects from ideation through production, partnering with engineers, product managers, and domain experts to bring game‑changing features to life.

If you’re passionate about turning data into action, excited by complex, real‑world problems, and eager to innovate in one of the most dynamic domains in sports technology, we’d love for you to apply. This is your opportunity to help shape the future of training for athletes and coaches around the world.

• Conduct exploratory data analyses and proof‑of‑concept machine‑learning models to understand opportunities and potential project impact
• Collaborate with cross‑functional partners, such as product and engineering, to design effective and safe machine‑learning and AI solutions
• Train and iterate on models, thinking critically about trade‑offs with model complexity and novelty
• Debug models when observability shows performance gaps, and iterate on models
• Work on cutting‑edge modeling technology and take the opportunity to rethink every element of the coach and athlete experience
• Interface with customers to understand their needs and gather feedback regarding our models and products
• Stay up‑to‑date with the latest trends in machine‑learning and applied AI practices
• Perform other duties as assigned

• 2+ years of experience as a Data Scientist or similar role
• Background in computer science, data science, statistics, applied mathematics, or similar technical fields
• Strong analytical thinking and problem‑solving skills with a high attention to detail
• Experience with exploratory data analysis and model prototyping, using languages such as Python and tools like Scikit‑learn, Pandas, Numpy, Pytorch, Tensorflow, Sagemaker
• Excellent written and verbal communication skills
• Ability to deal with ambiguity

Degrees are not required and we value all forms of continued education including traditional four‑year degrees, post‑graduate degrees, associates degrees, bootcamps, online training, professional certifications, self‑teaching and more.

• M.S. or Ph.D. in computer science, statistics, applied mathematics, data science, or similar technical fields
• Experience with our products and an understanding of endurance sports
• Experience implementing machine‑learning algorithms in the cloud (AWS)
• Familiarity with LLM concepts such as prompt engineering and evaluation frameworks

We are committed to fair and equitable compensation practices. The salary range for this role in Colorado is $94,874 – $158,124. Final compensation for this role will be determined by various factors such as a candidate’s relevant work experience, skills, certifications, and geographic location. This role is eligible for variable compensation including bonus.

• We offer comprehensive health benefits including medical, dental, and vision…