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Staff Data Scientist – Growth & Expansion

🕒 September 26

🇮🇳 India – Remote

⏰ Full Time

🔴 Lead

📊 Data Scientist

Where this job comes from

Posted on HighLevel's careers page, not through a job board

First seen by Remote Rocketship September 26

Still open on HighLevel's site. Checked 2 hours ago.

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 rigorous growth experiments and distinguish causal from correlational claims • Partner with Product Strategy & Growth on TTP/churn and add-ons charters • Set company-wide technical direction for 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 • Advise Growth, GTM, and Finance leaders and set analytical standards for adjacent teams • Flag data gaps to Analytics Engineering and shape the event taxonomy • Use AI tooling such as Claude to accelerate exploration, documentation, and analysis

🎯 Requirements

• 9+ years in product/growth analytics, data science, or applied statistics, with deep experience across activation, retention, conversion, and expansion motions • Track record of building a metric or value framework used by multiple teams to drive real outcomes • Strong applied statistics, including designing analysis to causal questions and understanding correlational failure modes • Fluency partnering on experiments, including A/B design, power, guardrails, and honest result interpretation • Strong SQL and working proficiency in Python • Comfort in a Snowflake and dbt environment • Experience turning behavioral and revenue data into segment-level insight that changed a product, growth, or GTM decision • Comfort working with imperfect, in-progress data and consuming governed sources • Ability to align Growth, GTM, Finance, and product leaders on shared numbers 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

• Global, remote-first organization • Opportunity to work with a global team across 10+ countries • Path to grow a pod as the mandate scales • AI tooling (Claude and similar) provided for exploration, documentation, and analysis

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