Data Scientist

Captions is the leading video AI company, building the future of video creation. Over 10 million creators and businesses have used Captions to create videos for social media, marketing, sales, and more. We’re on a mission to serve the next billion.

We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. You’ll join an early team and have an outsized impact on the product and the company’s culture.

We’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures (Series C lead), Kleiner Perkins (Series B lead), Sequoia Capital (Series A and Seed co-lead), Andreessen Horowitz (Series A and Seed co-lead), Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.

Check out our latest financing milestone and some other coverage:

The Information: 50 Most Promising Startups

Fast Company: Next Big Things in Tech

The New York Times: When A.I. Bridged a Language Gap, They Fell in Love

Business Insider: 34 most promising AI startups

Time: The Best Inventions of 2024

** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) **

Key Responsibilities:

• Perform data analysis and exploration to uncover insights and trends related to product and user behavior.

• Design rigorous AB tests and evaluate the impact of product changes.

• Collaborate with cross-functional teams to define key metrics and establish data-driven goals for product experimentation.

• Develop and maintain analytical models to support full funnel analytics.

• Use statistical techniques to identify patterns and opportunities in large datasets.

• Create data visualizations and dashboards to effectively communicate findings and insights to stakeholders.

• Work closely with designers and engineers to drive data-informed decision-making throughout the product development process.

• Provide recommendations for improving user experience, conversion rates, and overall product performance based on data analysis.

• Stay up-to-date with industry trends and emerging technologies in data analytics and apply them to enhance analytical capabilities.

• Be a mentor to other team members and a data-driven thought leader to cross functional colleagues.

Requirements:

• 5+ years of proven experience as a data scientist or similar role, with a focus on analytics, AB testing, and product experimentation.

• Strong proficiency in programming languages such as Python, R, or SQL for data manipulation, analysis, and modeling.

• Expertise in statistical analysis, hypothesis testing, and experimental design for AB 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:

• Bachelor’s or Master’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline.

• Experience with full funnel analytics, including data collection, cleansing, transformation, and analysis.

• Familiarity with data warehousing concepts and experience working with 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!

• Doordash DashPass subscription

• Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc)

• Multiple team offsites per year with team events every month

• Generous PTO policy and flexible WFH days

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.