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 professional 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(Captions by Mirage)
Research(Seeing Voices, technical-white-paper)
Updates(Mirage on X / twitter)
TechCrunch, Forbes AI 50, Fast Company (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+ yearsas 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:
Master’s or PhD in a quantitative field (Statistics, Mathematics, Computer Science, or related)
Full-funnel analytics experience, including data collection, cleaning, transformation, analysis, and performance measurement
Familiarity with modern data warehousing and large-scale data processing; comfortable working with very large datasets and distributed computing frameworks
Benefits:
Comprehensive medical, dental, and vision plans
401K with employer match
Commuter Benefits
Catered lunch multiple days per week
Dinner stipend every night if you're working late and want a bite!
Grubhub subscription
Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc)
Multiple team offsites per year with team events every month
Generous PTO policy
Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please note benefits apply to full time employees only.