Lead Data Scientist

You have an MS degree or equivalent experience in Computer Science, Mathematics, Statistics, or a related quantitative field.
You bring 5+ years of experience in data science roles, with a consistent track record of driving impactful solutions.
You have hands-on experience with various ML techniques, including supervised and unsupervised learning, and are comfortable working with deep learning models such as transformers or LLMs.
You have a solid grasp of A/B testing, causal inference, and statistical methodologies to support meticulous data-driven decision-making.
You have experience deploying ML models in production using cloud platforms like AWS (or equivalent).
You excel at taking on complex problems, uncovering insights, and driving data-driven strategies.
You are skilled at explaining complex data concepts to diverse audiences and thrive in a cross-functional environment.

Develop and enhance machine learning models, leveraging supervised, unsupervised, and reinforcement learning techniques to enhance the athlete experience on Strava continuously.
Design and implement experimentation strategies, such as A/B testing and causal inference, to drive data-informed product and business decisions.
Work closely with product managers, engineers, marketing teams, and other partners to develop data-driven solutions that improve athlete engagement and business outcomes.
Apply expertise in large-scale data analysis to identify trends, uncover opportunities, and inform strategic decision-making.
Stay ahead of the latest industry trends in machine learning, LLMs, transformers, and deep learning, evaluating their potential impact on Strava’s data capabilities.
Mentor other data scientists, contribute to knowledge sharing through blog posts or tech talks, and help uplevel the data science capabilities.

No preferred qualifications provided.