Data Science Lead

OpusClip is looking for a staff-level, product-oriented Data Science Lead to lead a team of approximately five: two Data Scientists, two analysts, and one to two Data Engineers. Title will be calibrated to experience. This is a hands-on role: you will set the Data roadmap, personally tackle the hardest analytical problems, and build an increasingly AI-native data function. You can lead through technical direction or direct management; formal people management is not required. You will work closely with Product, Growth, Finance, Engineering, and AI to turn trusted data into better product and business decisions.

Responsibilities

Set priorities, develop the team through technical direction and example, and focus capacity on the highest-impact problems; Personally lead ambiguous, high-stakes analyses; Own standards for metric definitions, data validation, and analytical quality; Partner with Engineering to diagnose and prevent recurring issues across tracking, pipelines, transformations, and dashboards; Turn recurring requests into reusable datasets, frameworks, and self-service tools; Use behavioral analysis, user profiling, and segmentation to identify opportunities across activation, retention, monetization, and lifetime value; Strengthen experimentation and causal measurement across Product and Growth; Evaluate acquisition quality and the long-term value of different channels and customer segments, moving beyond attribution toward incrementality to improve CAC; Partner with AI teams on data curation, evaluation design, and online and offline measurement; Connect changes in AI quality to user behavior and business outcomes; Use AI to automate recurring analysis and explore agentic systems that detect unusual metric movements and investigate likely causes; Make these workflows reliable enough for teams to use, moving toward proactive insights with clear validation and human judgment

Requirements

Significant experience in data science, product analytics, decision science, or a related field, with demonstrated Staff, Principal, Lead, or equivalent scope, regardless of title; Strong product and business judgment: you identify important questions, navigate ambiguity, and turn evidence into decisions; Strong SQL and Python skills and a willingness to stay hands-on; Deep experience with product metrics and user behavior, plus a strong foundation in statistics, A/B testing, and causal reasoning; Strong data-quality instincts and enough engineering knowledge to trace data through a system, diagnose recurring pipeline problems, and work effectively with engineers on durable fixes; Ability to lead through influence, technical credibility, and clear communication across technical and business teams

Nice to have

Experience measuring paid marketing incrementality and acquisition economics; Experience partnering with AI/ML teams on evaluation or data curation, or building AI-assisted or agentic analytics systems; Experience in SaaS, consumer software, creator products, subscription businesses, or AI products