Data Scientist developing and implementing LLM - based agents and leveraging AI techniques to improve client value. Collaborating on project challenges in a dynamic, start - up environment at Gartner.
About the role
- Data Scientist role at TrainingPeaks leveraging AI for endurance coaching. Involved in data analysis and cross-functional collaboration to develop impactful models.
Responsibilities
- 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
- 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.
- M.S. or Ph.D. in computer science, statistics, applied mathematics, data science, or similar technical fields (Desired).
- Experience with our products and an understanding of endurance sports (Desired).
- Experience implementing machine learning algorithms in the cloud (AWS) (Desired).
- Familiarity with LLM concepts such as prompt engineering and evaluation frameworks (Desired).
Benefits
- 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.
- 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.
- 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.
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