Peaksware
Join to apply for the Data Scientist - TrainingPeaks role at Peaksware Holdings, LLC Join to apply for the Data Scientist - TrainingPeaks role at Peaksware Holdings, LLC Company Information We are musicians, athletes, coaches and teachers who truly believe in our mission to help people achieve their best. Our software platforms connect performers, instructors and creators enabling them to publish, teach and train using the principles of deliberate practice. Company Information We are musicians, athletes, coaches and teachers who truly believe in our mission to help people achieve their best. Our software platforms connect performers, instructors and creators enabling them to publish, teach and train using the principles of deliberate practice. You may know us as TrainingPeaks, MakeMusic, TrainHeroic and Alfred Music. All these brands are under the Peaksware umbrella. TrainingPeaks develops software for coaches and athletes to track, analyze and plan endurance training. TrainHeroic develops software solutions for the strength and conditioning needs of coaches and athletes. MakeMusic develops software to transform how music is composed, taught, learned and performed. Alfred Music creates and publishes educational music to help teachers, students, professionals and hobbyists experience the joy of making music. Peaksware has been featured in BuiltInColorado's Top 100 Companies list since 2017 and our brands have been recognized in Outside Magazine's Best Places to Work multiple years in a row. Peaksware has also been honored as a part of Mogul's Top 1,000 Companies for millennial Women Worldwide . We are proud of our company culture and of consistently being recognized, both locally and nationally, as a top workplace. We would love to have you join our ever-growing team! 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 AI with LLMs and take the opportunity to rethink every element of the coach and athlete experience with AI. 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, LLMs 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 data science, statistics, applied mathematics, computer science, 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. Familiarity with LLM concepts such as prompt engineering, , Retrieval-Augmented Generation (RAG), and evaluation frameworks. 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 data science, statistics, applied mathematics, computer science, or similar technical fields. Experience with our products and an understanding of endurance sports. Experience implementing machine learning algorithms in the cloud (AWS). Experience defining & building AI capabilities in a professional environment is a plus. The work characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Benefits Compensation Peaksware/TrainingPeaks is committed to fair and equitable compensation practices. The annual compensation 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, and certifications. This role is eligible for variable compensation, including bonus. Benefits And Perks Health Medical Dental Vision Health Savings Account Flexible Spending Account Dependent Care Flexible Spending Account Paid Parental Leave Teladoc Employee Assistance Program (EAP) Additional coverage options such as accident and critical illness insurance and hospital indemnity Disability and Life Company-paid Short Term Disability Company-paid Long Term Disability Company-paid Basic Life Insurance and AD&D Employee-paid Supplemental Life Insurance for Employee, Spouse, and/or Child Additional 401(K) 401(K) Matching Pet Insurance 12 paid holidays annually and unlimited Flexible Time Off (FTO) Free TrainingPeaks, TrainHeroic, MakeMusic accounts, and Alfred Music product Access to the Performance and Recovery Center (PARC), our on-site fitness facility Employee only access to on-site locker rooms and showers Employee only access to secure, indoor bike storage Access to our onsite Music Studio An assortment of grab'n go fruit and snacks as well as on tap cold brew, kombucha, and beer. Beautiful onsite cafe that includes indoor and outdoor seating and lounge areas. Access to e-bikes available exclusively to Peaksware employees Significant investment in resources for employee growth and development Corporate discounts on select gym memberships and top brand gear Flexible work schedule in a culture of trust Please contact careers@ if you require a reasonable accommodation to review our website or to apply online. 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 here . By submitting an application, you acknowledge and agree to the Peaksware Privacy Policy. Seniority level Seniority level Entry level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Peaksware Holdings, LLC by 2x Sign in to set job alerts for Data Scientist roles. 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