Data Scientist, Marketing

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 of 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.** 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:We’re hiring our first Data Scientist to lead Marketing Analytics and Measurement to partner closely with the Marketing team. You will be responsible for helping us make sound marketing investment decisions by jointly evaluating performance across platforms, channels, campaigns, and markets. This involves making sure we have a holistic view of the data — spanning ad platforms, MMPs, and more — in one centralized location to standardize and automate reporting.Responsibilities:Automate daily and weekly marketing reporting by building reports, tables, and dashboards that are accessed and understood by Marketing, Engineering, and Finance in one centralized BI tool.Build data pipelines from ad platforms (like Facebook or Google) and MMPs (like AppsFlyer) into a centralized data warehouse, piecing together key pieces of information in the user journey.Build unified reporting dashboards in our BI tool for a full funnel view across our campaigns.Collaborate with Finance and Marketing to define and report out on metrics like CAC, payback period, and LTV.Design, implement, and assess the results from uplift and geo-split studies to measure incrementally across new channels, campaigns, or markets.Build out a multi-touch attribution model in-house that spans user journeys across iOS, Android, and Web platforms.Evaluate additional tooling, being a key partner in build vs. buy decisions.Define and monitor KPIs with alerting, conduct deep dives to identify significant shifts, trends, and opportunities.Qualifications:Bachelor’s or Master’s in a quantitative field such as Engineering, Math, Statistics, Economics, Computer Science, or a related discipline is preferred.5+ years of relevant work experience in marketing analytics for channels such as but not limited to SEM, Affiliate, Social, and Podcast.Experience working with marketing measurement and attribution (e.g. MTA models), targeting and creative optimization, user segmentation, cohort analyses, time series analyses, and regression models.Understands marketing metrics deeply; can partner and elevate our way of thinking about CAC, LTR, LTV, payback period, and retention.Comfort partnering with marketing to design and execute incrementality testing, attribution or media mix modeling, and spend ROI curves.Familiarity with digital marketing and analytics tools/platforms (Google Analytics, Google Search Console, Google Ads, Facebook).Proficiency in Python and SQL for data manipulation, analysis, and modeling.Expertise in statistical analysis, hypothesis testing, and experimental design for A/B testing; knowledge of data visualization tools to effectively communicate insights.Strong verbal and written communication skills and a track record of being able to work independently and proactively engage cross-functionally.BigQuery and Sigma experience is a plus.Benefits:

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.

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