Data Scientist, Marketing

Data Scientist, Marketing 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 We’re looking for a Data Scientist to help power our marketing strategy. In this role, you’ll partner with Marketing, Product, and Finance to improve acquisition performance, refine attribution, and build the measurement foundations that guide our company’s growth. As the first Data Scientist dedicated to marketing analytics, you will define core success metrics, evaluate funnel performance, and uncover insights that shape our go-to-market strategy. KEY RESPONSIBILITIES - Analyze acquisition, lifecycle, and overall marketing performance to surface trends, identify funnel gaps, and highlight opportunities to improve efficiency and customer value. - Build and maintain predictive models that support forecasting, customer understanding, targeting, and personalization. - Develop and improve marketing measurement frameworks to better understand channel impact, attribution, and drivers of growth. - Conduct deep analyses of customer behavior, segments, and retention patterns to inform marketing and product strategy. - Design, run, and evaluate experiments (e.g., A/B tests) to measure the impact of marketing initiatives and guide decision-making. - Assess multi-channel campaign performance and provide clear recommendations to marketing partners to improve outcomes. - Work closely with cross functional teams and leadership to enhance data quality, evolve marketing datasets, and support scalable analytical workflows. - Communicate insights clearly and effectively, turning complex analyses into actionable recommendations for leadership and cross-functional teams. REQUIREMENTS - Minimum of 5 years of experience in data science, marketing data science, or growth analytics within B2C, B2B, e-commerce, or SaaS environments. - Advanced proficiency in SQL and Python, including experience with data manipulation libraries and statistical modeling. - Hands-on experience with modern cloud data warehouses (e.g., BigQuery) and building scalable data models or pipelines for analytics. - Strong understanding of marketing measurement, including CAC, CLV, ROAS, funnel analytics, incrementality testing, and attribution methods (MMM, MTA, SKAN). - Experience with predictive modeling, such as LTV, churn, conversion propensity, clusterin ... (truncated, view full listing at source)