Lead Data Scientist, Product

Role overview Lead product data science work that informs growth strategy and helps scale an audio and video creation product. You will identify opportunities across user activation, engagement, monetization, and business-to-business growth, then help teams turn those opportunities into well-designed experiments and measurable product decisions.

Responsibilities - Analyze product behavior and business performance to shape product-led growth and business-to-business strategy. - Find opportunities to improve activation, engagement, and monetization, and translate findings into practical recommendations. - Build and maintain self-service analytics with AI tools so teams can access trusted metrics, estimate opportunity size, design experiments, and interpret results. - Define success metrics and opportunity sizing to improve the rigor of product execution. - Partner with product and engineering teams on experiment design, rollout, and analysis. - Develop approaches for challenging experimentation scenarios and strengthen experimentation practices across teams.

Requirements - Five to eight years of experience in data science or a related role, including at least three years in a growth function. - Strong statistical analysis and A/B testing skills. - Strong SQL skills and proficiency in at least one programming language, such as Python or R. - Product and business judgment to spot growth opportunities. - Clear communication, collaborative working style, curiosity, and comfort in a changing environment.

Nice to have - Experience at a fast-growing startup.

Benefits and work setup - Remote within the United States or hybrid, with flexibility around in-person work. - Base salary range of $200,000–$250,000 per year; final compensation may vary based on experience, expertise, location, and level.