{"id":4335952,"url":"https://alion.io/job/classpass-remote-data-scientist-iii","title":"[Remote] Data Scientist III","company":{"id":59975,"name":"ClassPass","domain":"classpass.com","url":"https://alion.io/company/classpass","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Looker","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"Statsmodels","optional":false},{"name":"Tableau","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-15T12:11:44Z","employer_posted_date":null,"last_verified_at":"2026-11-15T12:11:44Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"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.\n\nResponsibilities\nPartner 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\nApply statistical inference and causal modeling to evaluate experiments, quantify business impact, and guide decision-making under uncertainty\nDesign, prototype, and deploy scalable data products such as anomaly detection systems, prioritization algorithms, and similarity/recommendation models\nTranslate complex models and findings into actionable insights and clear recommendations for business stakeholders, including executives\nBuild frameworks for experimentation, measurement, and monitoring that drive iteration and continuous improvement of strategic initiatives\nBalance hands-on technical work (modeling, coding, automation) with strategic thinking, ensuring data science investments align with business objectives\nAct as a technical thought partner and mentor for analysts and junior data scientists, raising the bar on scientific rigor and reproducibility\n\nSkills\n3–5 years of experience in data science, applied statistics, or a related quantitative discipline, ideally within marketplace or platform businesses\nStrong expertise in statistical inference, causal modeling, and experiment design, with the ability to draw robust conclusions from noisy or incomplete data\nProficiency in Python (pandas, NumPy, scikit-learn, statsmodels, PySpark, etc.) and SQL, with experience building and deploying production-grade models\nProven track record of designing and delivering data products such as anomaly detectors, ranking/prioritization models, similarity or recommendation systems\nFamiliarity architecting automated pipelines and data flows that support machine learning and analytics at scale\nAbility to balance technical depth with business acumen—knowing when a simple solution beats a complex one, and when complexity is necessary to win\nStrong communication and storytelling skills, with the ability to influence non-technical stakeholders and executives\nComfort with ambiguity and a fast-paced environment; you thrive on experimentation, iteration, and turning insights into action\nFamiliarity with data visualization and dashboarding tools (e.g., Tableau, Looker, Power BI) to communicate insights effectively\nInternally competitive and externally collaborative\n\nCompany Overview\nClassPass is an application that offers training for fitness, wellness, home workouts, in-studio classes, and digital classes. It is a sub-organization of Playlist. It was founded in 2011, and is headquartered in New York, New York, USA, with a workforce of 501-1000 employees. Its website is http://classpass.com.\n\nCompany H1B Sponsorship\nClassPass has a track record of offering H1B sponsorships, with 4 in 2022, 4 in 2021, 2 in 2020. 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