Marketing Science & Growth Lead

Range • McLean, VA

18h • Onsite

About The Position

Range is looking for a Marketing Science & Growth Lead to play a critical role as we scale our all-in-one wealth management platform. This role sits at the intersection of growth marketing, advanced analytics, and data infrastructure, partnering closely with marketing, product, and engineering to drive efficient, measurable growth.
You’ll own the technical and analytical backbone of our marketing engine — from paid and organic performance optimization to experimentation, modeling, and attribution. This is a highly impactful role for someone with a startup mindset who thrives on solving complex, ambiguous problems and translating data into clear business decisions.
This role is based at Range’s headquarters in McLean, VA, and follows an in-office schedule Monday through Friday. If you’re not currently located in the area, relocation will be a contingency for employment.
At Range, you’ll help define how we measure success, where we invest next, and how we continuously improve the way members discover and engage with our platform.

Requirements

• 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.

Nice To Haves

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

Responsibilities

• 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.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 11-50 employees