Senior Data Scientist

Experteer Overview Senior data scientist at Stash partners with Product, Growth, and Marketing to turn ambiguous business questions into measurable experiments and models that improve customer acquisition, activation, retention, and advisory services. You own end-to-end analytical workstreams, from problem framing to delivering actionable recommendations. You'll apply statistics, ML, and stakeholder collaboration to move fast and ship impactful, decision-guiding insights that align with the company mission of democratizing wealth creation. Compensation / Benefits * Own measurement for priority bets with Product and Growth (Ideal Customer Profile, payback, attribution, subscription performance, Financial Advice) to enable trusted OKR-based decisions * Design and analyze experiments, lead A/B testing with Product and Marketing, and translate results into actionable recommendations * Develop and productionize predictive and causal models (churn, LTV, conversion propensity, etc.) with an emphasis on business measurability and maintainability * Deep-dive into customer and funnel behavior to identify drop-offs, segmentation opportunities, and growth levers while sizing impact before investments * Define data foundations with Analytics Engineering to ensure governed, tested warehouse data and durable definitions * Create clear analyses, Hex notebooks, and BI views (Looker / Mixpanel) for lasting leverage; communicate findings to technical and non-technical audiences * Set and raise standards for methodology, code quality, and AI-assisted workflows with responsible data usage Tasks * 5+ years in data science or advanced analytics, preferably in consumer tech, fintech, or growth analytics * Strong foundation in experimental design, causal inference, and applied ML (classification/regression, churn, uplift/propensity) * Proficiency in Python and advanced SQL for large data warehouses * Experience partnering with PMs, designers, marketers, and engineers; linking analyses to CAC, LTV, retention, ARPU * Product sense with ability to define metrics and governance around event/warehouse contracts * Excellent written and verbal communication; ability to brief executives and coach peers * Education in a quantitative field (Bachelor's or Master's) or equivalent experience * Hands-on use of AI coding assistants (e.g., Cursor, ChatGPT) with quality outputs and governance for sensitive data Key requirements * comprehensive total rewards package * flexible work policy and hybrid NYC/remote work * flexible PTO * learning and development reimbursement * home office equipment stipend and internet subsidy * paid parental leave

years on business measurability and maintainability * Deep-dive into customer and funnel behavior to identify drop-offs, segmentation opportunities, and growth levers while sizing impact before investments * Define data foundations with Analytics Engineering to ensure governed, tested warehouse data and durable definitions * Create clear analyses, Hex notebooks, and BI views (Looker / Mixpanel) for lasting leverage; communicate findings to technical and non-technical audiences * Set and raise standards for methodology, code quality, and AI-assisted workflows with responsible data usage Tasks * 5+ years in data science or advanced analytics, preferably in consumer tech, fintech, or growth analytics * Strong foundation in experimental design, causal inference, and applied ML (classification/regression, churn, uplift/propensity) * Proficiency in Python and advanced SQL for large data warehouses * Experience partnering with PMs, designers, marketers, and engineers; linking analyses to CAC, LTV, retention, ARPU * Product sense with ability to define metrics and governance around event/warehouse contracts * Excellent written and verbal communication; ability to brief executives and coach peers * Education in a quantitative field (Bachelor's or Master's) or equivalent experience * Hands-on use of AI coding assistants (e.g., Cursor, ChatGPT) with quality outputs and governance for sensitive data Key requirements * comprehensive total rewards package * flexible work policy and hybrid NYC/remote work * flexible PTO * learning and development reimbursement * home office equipment stipend and internet subsidy * paid parental leave