Captions is the AI-powered creative studio. Millions of creators around the world have used Captions to make their video content stand out from the pack and we're on a mission to empower the next billion.
Based in NYC, we are a team of ambitious, experienced, and devoted engineers, designers, and marketers. You'll be joining an early team where you'll have an outsized impact on both the product and company's culture.
We’re very fortunate to have some the best investors and entrepreneurs backing us, including Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, Lenny Rachitsky, and more.
Check out our latest milestone and our recent feature on the TODAY show and the New York Times .
** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square)**
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.
Required Qualifications:
2+ 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.
Preferred Qualifications:
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.
Comprehensive medical, dental, and vision plans
401K with employer match
Anything you need to do your best work
We’ve done team off-sites to places like Paris, London, Park City, Los Angeles, Upstate NY, and Nashville with more planned in the future
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.
$160K – $220K • Offers Equity
The successful candidate's starting compensation will be determined based on their skills, experience, qualifications, and market conditions. Please know that this pay range may be modified in the future.
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