[Remote] Data Scientist III

Note: The job is a remote job and is open to candidates in USA. ClassPass offers fitness and wellness experiences through a personalized platform. The Data Scientist will build analytical solutions and scalable data products to improve marketplace efficiency, retention, and growth, and guide business decisions through statistical inference and experimentation.

Responsibilities

• Partner with Product, Marketing, Operations, and Finance teams to design and execute analytical solutions that optimize marketplace dynamics, improve unit economics, and uncover opportunities for growth
• Apply statistical inference and causal modeling to evaluate experiments, quantify business impact, and guide decision-making under uncertainty
• Design, prototype, and deploy scalable data products such as anomaly detection systems, prioritization algorithms, and similarity/recommendation models
• Translate complex models and findings into actionable insights and clear recommendations for business stakeholders, including executives
• Build frameworks for experimentation, measurement, and monitoring that drive iteration and continuous improvement of strategic initiatives
• Balance hands-on technical work (modeling, coding, automation) with strategic thinking, ensuring data science investments align with business objectives
• Act as a technical thought partner and mentor for analysts and junior data scientists, raising the bar on scientific rigor and reproducibility

Skills

• 3–5 years of experience in data science, applied statistics, or a related quantitative discipline, ideally within marketplace or platform businesses
• Strong expertise in statistical inference, causal modeling, and experiment design, with the ability to draw robust conclusions from noisy or incomplete data
• Proficiency in Python (pandas, NumPy, scikit-learn, statsmodels, PySpark, etc.) and SQL, with experience building and deploying production-grade models
• Proven track record of designing and delivering data products such as anomaly detectors, ranking/prioritization models, similarity or recommendation systems
• Familiarity architecting automated pipelines and data flows that support machine learning and analytics at scale
• Ability to balance technical depth with business acumen—knowing when a simple solution beats a complex one, and when complexity is necessary to win
• Strong communication and storytelling skills, with the ability to influence non-technical stakeholders and executives
• Comfort with ambiguity and a fast-paced environment; you thrive on experimentation, iteration, and turning insights into action
• Familiarity with data visualization and dashboarding tools (e.g., Tableau, Looker, Power BI) to communicate insights effectively
• Internally competitive and externally collaborative

Company Overview

Company H1B Sponsorship