Staff Data Scientist – Growth & Expansion

🔥 18 hours ago

🇺🇸 United States – Remote

💵 $163.4k - $220k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

👻 Ghost score 4%

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Logo of HighLevel

HighLevel

201 - 500 employees

Founded 2018

💼 Consulting

📦 Logistics

☁️ SaaS

💰 Series A on 2021-11

Consulting • Logistics • SaaS

HighLevel is an all-in-one marketing and sales platform designed to help businesses grow and succeed. The platform consolidates various marketing tools into a single solution, providing features such as lead capture through landing pages, surveys, forms, and calendars, as well as tools for nurturing leads via automated messaging across multiple channels including phone, SMS, email, and social media. HighLevel offers customizable solutions like online appointment scheduling, multi-channel follow-up campaigns, and pipeline management. Additionally, businesses can build websites, funnels, and landing pages using the intuitive page builder. HighLevel supports integrating with existing systems via API, and offers a membership platform for community building and course management. The platform is targeted towards marketers and offers white-labeling options for businesses to brand the software as their own. With a community-driven development approach and award-winning support, HighLevel is focused on empowering businesses to streamline their operations and enhance their marketing efficiencies.

📋 Description

• Own the customer-growth outcome end to end across onboarding, activation, trial-to-paid, multi-product adoption, and expansion revenue • Identify early and mid-lifecycle behaviors that predict expansion and turn findings into a prioritized growth agenda • Connect product signals to GTM/marketing spend and Finance growth targets • Model the B2B2C dynamic of agency-to-sub-account activation and expansion • Partner on the design and rigorous interpretation of growth experiments • Establish shared definitions and models for trial-to-paid, churn, and add-ons • Set technical direction for company-wide customer-growth measurement, canonical metrics, segment definitions, and value models • Build reusable growth-measurement and causal-inference methods • Translate findings into decision-grade guidance for Growth, GTM, Finance, and product leaders • Act as a trusted analytical advisor and set standards adopted by adjacent data science and analytics teams • Flag data gaps and shape the event taxonomy supporting the funnel and value model • Use AI tooling such as Claude for exploration, documentation, and analysis • Report centrally to Product Analytics & Data Science for craft and standards • Help establish a foundation to scale the customer-growth mandate beyond one individual contributor

🎯 Requirements

• 9+ years in product/growth analytics, data science, or applied statistics • Deep experience across activation, retention, conversion, and expansion motions • Track record of building a metric or value framework used by multiple teams to drive outcomes • Strong applied statistics and ability to design analysis around causal questions • Fluency partnering on experiments, including A/B design, power, guardrails, and result interpretation • Strong SQL • Working proficiency in Python • Comfort in a Snowflake and dbt environment • Experience turning behavioral and revenue data into segment-level insight that changed product, growth, or GTM decisions • Comfort working with imperfect, in-progress data and governed sources • Ability to influence Growth, GTM, Finance, and product leaders without direct authority • B2B SaaS, CRM, or product-led growth background, especially freemium/trial and land-and-expand motions • Usage-based/consumption or add-on revenue exposure • Familiarity with Statsig or a comparable experimentation platform • Exposure to AI-assisted analytics workflows • Experience mentoring analysts

🏖️ Benefits

• Remote-first organization • Equal Opportunity Employer • Voluntary demographic information collection for compliance, with no effect on application status

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