RedditSan Francisco, CADevelops experimental and causal analyses, product insights, data pipelines, and KPI frameworks to guide strategy and decision-making. The role requires a quantitative degree, relevant experience, and strong Python, SQL, experimentation, and statistical modeling skills.
Lead a Data Science team building production ML, optimization, and AI systems (including agentic workflows) to solve complex operational problems in caregiver-client matching, scheduling, and risk identification for home care. 7+ years experience with 3+ years managing teams; player-coach role partnering with Product, Engineering, and Operations.
Leads a team of data scientists to deliver data-driven solutions for infrastructure capacity planning, performance optimization, reliability, and efficiency at Databricks. Requires 10+ years in infrastructure data science/ML and 5+ years management experience.
Leads forecasting initiatives by building interpretable, production-ready statistical and machine learning models for growth, revenue, compute, and profitability. Requires an advanced quantitative degree, 7+ years of applied data science experience, and strong expertise in time-series forecasting.
Lead and hands-on manage a Product Data Science team focused on app experience, marketplace, and AI-native product features. Drive AI evaluation, agentic services, and mentor team on ML/LLM best practices.
Develops rigorous statistical and causal models powering Mixpanel’s AI-driven product insights, including forecasting, simulation, retention, and cohort detection. Requires 5+ years of applied statistical modeling experience, strong Python and SQL skills, and expertise in causal inference.