Data Scientist - TrainingPeaks

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.

Requirements

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

Benefits

​Compensation:

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.

Benefits and Perks:

Health

• We offer comprehensive health benefits including medical, dental, and vision insurance; health savings and flexible spending accounts, paid parental leave; and an employee assistance program.
• Additional coverage options including Accident & Critical Illness insurance as well as Hospital Indemnity are also available.

Disability and Life

• We offer several company paid options including Short Term Disability, Long Term Disability, as well as Basic Life Insurance and AD&D.
• Additional coverage options including Employee-paid Supplemental Life Insurance for Employee, Spouse, and/or Child are also available.

Additional

• We offer a 401(K) including a company match.
• We observe 12 paid holidays annually and provide discretionary Flexible Time Off. Employees also receive free access to our products, corporate discounts, and professional development resources.
• Access to the Performance and Recovery Center (PARC), our on-site fitness facility, as well as employee only access to on-site locker rooms and showers. 
• Employee only access to secure, indoor bike storage and access to e-bikes exclusively to Peaksware employees.
• Access to our onsite Music and Podcast Studio.

If you require a reasonable accommodation to review our website or to apply online, please fill out our 

Peaksware adheres to the FLSA Exemption Threshold for minimum wage in all states.

Work Environment

This job operates in a professional office environment that is well-lighted, heated, and/or air-conditioned with adequate ventilation and a noise level that is usually moderate. This role routinely uses standard office equipment such as computers, phones, photocopiers and filing cabinets.

All employees must comply with all safety policies, practices and procedures. Report all unsafe activities to your manager and/or Human Resources.

Physical Demands

While performing the duties of this job, the employee is regularly required to sit and move about the facility; use hands to handle, or feel; talk by expressing ideas by means of the spoken word; and hear by perceiving the nature of sounds. The employee is occasionally required to stand, walk, and reach with hands and arms. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.

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