OpusClip
Data Science Lead
$40K–$300K
Mountain View · On-site · Full-time · Posted Oct 6, 2026
- Experience
- Significant experience; no number of years stated.
About the job
Lead a small Data team, set its roadmap, solve high-impact analytical problems, and use trusted data and AI-enabled analytics to improve product and business outcomes.
What you'll do
- Set team priorities and data-quality standards; build reusable datasets, frameworks, and self-service tools.
- Use product analytics, experimentation, and causal measurement to guide product, growth, and investment decisions.
- Partner with AI teams to create evaluation and feedback loops, and build reliable AI-assisted analytics workflows.
What they ask for
- Significant experience in data science, product analytics, decision science, or a related field, with demonstrated Staff, Principal, Lead, or equivalent scope.
- Strong SQL and Python skills and willingness to remain hands-on.
- Deep experience with product metrics and user behavior, plus a strong foundation in statistics, A/B testing, and causal reasoning.
- Ability to trace data through systems, diagnose recurring pipeline problems, and lead through influence and clear communication.
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; relevant SaaS, consumer, creator, subscription, or AI product experience.
Pay
$230K – $300K USD base salary; $40K – $100K USD bonus
Tools
SQL, Python, BigQuery, Mixpanel, Superset, Prefect, Statsig
AI focus
Partner with AI teams on data curation, evaluation design, and online/offline measurement; connect AI quality to user and business outcomes; use AI to automate analysis and explore reliable agentic analytics.
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