Mirage is looking to improve acquisition performance, refine attribution, and build the measurement foundations that guide the company's growth through the role of a Data Scientist.
Requirements
- 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.
- Minimum of 5 years of experience in data science, marketing data science, or growth analytics within B2C, B2B, e-commerce, or SaaS environments.
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.
Other
- Minimum of 5 years of experience in data science, marketing data science, or growth analytics within B2C, B2B, e-commerce, or SaaS environments.
- 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.
- Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square)
