Data Scientist - TrainingPeaks
Data Scientist leverages 30+ years of athlete/coach data to build AI/ML models, conducting exploratory analyses, collaborating cross-functionally, and deploying production solutions for endurance training platforms. Requires 2+ years experience with Python, Scikit-learn, PyTorch, TensorFlow.
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.
Compensation
Salary range for this role in Colorado is $94,874 - $158,124. Final compensation determined by relevant work experience, skills, certifications, and geographic location. Eligible for variable compensation including bonus.
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