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Alfred Music

Data Scientist - TrainingPeaks

Louisville, Colorado, United StatesPosted 3 months ago
Full-timeonsite

Job Description

Company Information

Join the Team Powering the World's Best Endurance Athletes

At TrainingPeaks, 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, TrainingPeaks is where ambition meets impact.

As part of the Peaksware portfolio, consisting of brands like TrainingPeaks, MakeMusic, Alfred Music, TrainHeroic, we’re 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.

General Summary

Join TrainingPeaks 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.

Core Functions: 

  • 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 tradeoffs 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.

Required Qualifications: 

  • 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.

Desired Qualifications: 

  • 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
Data Scientist - TrainingPeaks at Alfred Music | Renata