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.
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