Mirage
Data Scientist, Marketing
Join Mirage to apply for the
Data Scientist, Marketing
role at
Mirage .
Base pay range: $150,000.00/yr - $200,000.00/yr.
Mirage is the leading AI short‑form video company. We’re building full‑stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential.
We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company’s culture.
Our Products
Captions
Mirage Studio
Our Technology
AI Research @ Mirage
Mirage Model Announcement
Seeing Voices (white‑paper)
Press Coverage
TechCrunch
Lenny’s Podcast
Forbes AI 50
Fast Company
Our Investors
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.
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, clustering, and time‑series forecasting.
Familiarity with mobile measurement partners, including AppsFlyer or Adjust, and mobile attribution concepts.
Experience designing and evaluating experiments, with a solid grounding in statistical testing, causal inference, and uplift modeling.
Demonstrated ability to work cross‑functionally, partnering with Marketing, Product, Finance, and Data Engineering stakeholders.
Exceptional analytical and problem‑solving skills, with the ability to break down ambiguous problems and operate autonomously in fast‑paced environments.
Clear and effective communication skills, with the ability to convey complex technical insights to non‑technical audiences.
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.
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Engineering and Information Technology
Industries
Software Development
#J-18808-Ljbffr
Data Scientist, Marketing
role at
Mirage .
Base pay range: $150,000.00/yr - $200,000.00/yr.
Mirage is the leading AI short‑form video company. We’re building full‑stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential.
We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company’s culture.
Our Products
Captions
Mirage Studio
Our Technology
AI Research @ Mirage
Mirage Model Announcement
Seeing Voices (white‑paper)
Press Coverage
TechCrunch
Lenny’s Podcast
Forbes AI 50
Fast Company
Our Investors
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.
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, clustering, and time‑series forecasting.
Familiarity with mobile measurement partners, including AppsFlyer or Adjust, and mobile attribution concepts.
Experience designing and evaluating experiments, with a solid grounding in statistical testing, causal inference, and uplift modeling.
Demonstrated ability to work cross‑functionally, partnering with Marketing, Product, Finance, and Data Engineering stakeholders.
Exceptional analytical and problem‑solving skills, with the ability to break down ambiguous problems and operate autonomously in fast‑paced environments.
Clear and effective communication skills, with the ability to convey complex technical insights to non‑technical audiences.
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.
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Engineering and Information Technology
Industries
Software Development
#J-18808-Ljbffr