Marketing Science & Growth Lead

• Partner with the performance marketing team to optimize spend and efficiency across paid channels including Meta, Google, CTV, affiliates, and emerging platforms
• Develop quantitative frameworks to identify high-ROI channels, audiences, and creative strategies to guide scaling decisions
• Collaborate with content and organic teams to analyze SEO and social performance, connecting upper-funnel engagement to downstream conversion and revenue
• Support experimentation, pricing, and go-to-market initiatives through rigorous measurement and performance analysis
• Design and own marketing mix models (MMM) to quantify true channel-level ROI and inform budget allocation decisions
• Build incrementality and causal testing frameworks to distinguish real lift from platform-reported performance
• Develop predictive models for purchase propensity, audience quality, churn, retention, and lifetime value
• Own attribution analysis across channels, including multi-touch attribution and spend efficiency studies
• Build and maintain scalable data pipelines aggregating marketing, product, and revenue data from third-party platforms and internal systems
• Implement and improve server-side tracking, identity resolution, and cross-device stitching to strengthen conversion signals
• Ensure data accuracy, reliability, and consistency across reporting, experimentation, and modeling layers
• Lead an always-on CRO and experimentation program across landing pages, signup flows, and lifecycle touchpoints
• Design statistical validation frameworks to prevent false positives and ensure experiments can be safely scaled
• Maintain a centralized experimentation repository to document learnings and accelerate future testing velocity
• Develop and automate dashboards that provide clear, actionable insights for marketing leadership and executives
• Reduce manual analysis by building self-serve reporting and automated insights
• Explore and implement automation and agentic systems to enable continuous optimization without manual tuning
• Write and optimize complex SQL queries for large-scale analysis and production data models
• Use Python for advanced analytics, predictive modeling, forecasting, causal analysis, and experimentation evaluation
• Apply statistical and machine-learning techniques to real-world marketing problems with clear business outcomes
• Translate technical findings into concise, actionable recommendations for non-technical stakeholders

• 6–8+ years of experience in growth analytics, marketing analytics, or data science with deep exposure to paid media performance
• Advanced proficiency in SQL and Python, with experience modeling and analyzing complex, large-scale datasets
• Deep understanding of paid acquisition channels, including campaign structure, optimization levers, and measurement limitations
• Experience with marketing mix modeling, causal inference, or incrementality testing
• Familiarity with CRO, experimentation frameworks, and landing page optimization
• Experience with BI tools such as Metabase, Looker, or similar platforms
• Exposure to server-side tracking, CDPs, or identity resolution frameworks
• Strong statistical intuition with the ability to separate signal from noise
• Excellent communication skills and comfort working cross-functionally with marketing, product, engineering, and leadership
• Self-starter who thrives in a fast-moving, highly technical startup environment

Experience in SaaS, subscription-based businesses or high growth startups a plus

• Health & Wellness: 100% employer-covered medical insurance for employees (75% for dependents), plus dental and vision coverage
• 401(k): Retirement savings program to support your future
• Paid Time Off: Dedicated time to reset and recharge plus most federal holidays
• Parental Leave: Comprehensive leave policy for growing families
• Meals: Select meals covered throughout the week
• Fitness: Monthly movement stipend
• Equity & Career Growth: Early exercise eligibility and a strong focus on professional development
• Annual Compensation Reviews: Salary and equity refreshes based on performance
• Boomerang Program: After two years at Range, you can take time away to start your own company. We’ll hold your spot for 6 months - and pause your equity vesting, which resumes if you return