Data Scientist, Product

Data Scientist, Product Mirage is an AI-native video platform that intelligently orchestrates production and editing through natural language. Our models leverage contextual awareness to execute the same creative decisions a professional editor would — dramatically improving productivity for experienced teams, while making video creation accessible to anyone. We’re an interdisciplinary team addressing some of the most difficult technical and creative challenges in generative media. As an early member of our team, you’ll tackle foundational problems that remain largely unsolved across the industry, driving an outsized impact on the future of creative expression. More about us Product https://mirage.app/captions (Captions by Mirage) Research https://arxiv.org/abs/2506.08279 (Seeing Voices, technical-white-paper) Updates https://x.com/trymirage (Mirage on X / twitter) TechCrunch https://techcrunch.com/2025/09/04/captions-rebrands-as-mirage-expands-beyond-creator-tools-to-ai-video-research/, Forbes AI 50 https://www.forbes.com/companies/captions/?list=ai50, Fast Company https://www.fastcompany.com/91270234/video-most-innovative-companies-fast-company-2025-youtube-roku-tubi-vimeo-captions-descript-cour-procreate-synthesia-beeble (press) Our Investors We’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) About the Role: As a member of our Data Science staff, you’ll own end-to-end measurement by defining north-star metrics, architecting rigorous experiments, and converting insights into roadmap-shaping decisions. You’ll partner with Product, Design, and Engineering to elevate instrumentation and data quality and deliver quantified recommendations that improve activation, engagement, retention, and revenue. Key Responsibilities: - Lead analysis and exploration to uncover trends in product and user behavior and prioritize the highest leverage opportunities - Design and evaluate rigorous A/B tests and set success criteria and power and guardrails and deliver clear post experiment readouts - Collaborate with cross functional leaders to define core metrics and establish data driven goals for product experimentation - Develop and maintain analytical models and reproducible pipelines that support full funnel analytics - Apply statistical techniques to identify patterns and opportunities in large datasets and quantify expected impact and risk - Create executive ready visualizations and dashboards that drive alignment and action among stakeholders - Embed with designers and engineers to guide instrumentation and ensure data informed decisions throughout the product lifecycle - Provide recommendations to improve user experience and conversion and overall product performance and track realized impact - Stay current on industry trends and emerging technologies in analytics and introduce pragmatic improvements to tools and methods Requirements: - 5+ years as a data scientist or in a similar role with a focus on product analytics - High proficiency in SQL and either Python or R for data manipulation, analysis, and modeling - Expertise in statistical analysis, hypothesis testing, and experimental design for A/B testing and product experimentation - In-depth knowledge of data visualization tools and techniques to effectively communicate insights and storytelling - Strong analytical thinking and problem-solving skills, with the ability to translate complex data into actionable recommendations - Strong written and verbal communication skills and the ability to partner with cross-functional teams to build a great business Bonus Points: - Ma ... (truncated, view full listing at source)