Data Scientist, Marketing

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