Data Scientist - TrainingPeaks

Posted 15 Days Ago
Louisville, CO
Hybrid
95K-158K Annually
Junior
Fitness • Music • Software
We are athletes, musicians, and coaches helping people reach their goals through the model of Deliberate Practice.
The Role
Build and iterate machine learning models and proofs-of-concept using TrainingPeaks' athlete and coach data. Collaborate with product and engineering, debug and monitor models, interface with customers for feedback, and stay current on applied ML and AI techniques to deliver production-ready solutions.
Summary Generated by Built In

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 Candidate Accommodations Request Form.

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.

To view the Peaksware Privacy Policy, click . By submitting an application, you acknowledge and agree to the Peaksware Privacy Policy.

Recruiting Agency Notice: We do not accept agency resumes or assistance. Please do not forward resumes to our jobs alias or our employees. We are not responsible for any fees related to unsolicited resumes.

Top Skills

Python,Scikit-Learn,Pandas,Numpy,Pytorch,Tensorflow,Sagemaker,Aws,Llm,Prompt Engineering
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The Company
HQ: Louisville, CO
256 Employees
Year Founded: 2000

What We Do

THE PEAKSWARE COLLECTIVE
What do athletes and musicians have in common? A lot, actually. They both chase a “next.” They both practice like it’s not practice. They both fine tune their physical and mental beings. They both get a rush from a new mastery, no matter how incremental. And they both co-exist creatively and collaboratively as members of the Peaksware companies.

Each of our platform brands has a distinct mission. But they share a common goal: to provide passionate people with the resources to take their pursuits higher. We invite you to get acquainted with our collective of performance-oriented companies that bring like-minded people together.

TRAININGPEAKS
TrainingPeaks develops software for coaches and athletes to track, analyze, and plan endurance training.

TRAINHEROIC
TrainHeroic develops software to solve the strength and conditioning needs of coaches and athletes.

MAKEMUSIC
MakeMusic develops software to transform how music is composed, taught, learned, and performed.

ALFRED MUSIC
Alfred Music provides method books, performance sheet music, and reference materials for teachers and students.

HERE, PRACTICE MAKES PERFECT SENSE
Each of our platforms connects creators, instructors, and performers through the training model of Deliberate Practice. Athletes and musicians set a specific goal, get expert instruction, perform focused practice, and receive immediate feedback. And they follow these steps over and over. The path from novice to expert runs through Peaksware.

Why Work With Us

PURSING PASSION TAKES A TEAM
Join other athletes, musicians, coaches, and technologists dedicated to helping people achieve their best. Peaksware and our brand companies are the kinds of places where personal interests and professional career seamlessly mesh. Knowing that your work is helping others raise the bar is likely to do the same for you.

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Peaksware Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

All Colorado residents will automatically default to our Hybrid option while any employee who resides outside the state of Colorado will default to our Remote option.

Typical time on-site: Flexible
HQLouisville, CO
Our newly opened Louisville, CO office is located near Highway 36 and McCaslin Blvd. This convenient location allows easy access whether you're commuting from Denver, Boulder, or Northern CO. The area boasts great restaurant and shopping options, as well as miles of trails to get out and explore!

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