Data Scientist, Marketing

Mirage-posted 2 days ago

Full-time • Mid Level

Onsite • New York, NY

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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.

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.

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.

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

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