HighLevel is a SaaS company that develops an all-in-one marketing and sales platform for businesses and marketers. Its software brings together lead capture, appointment scheduling, pipeline management, websites, funnels, landing pages, and automated follow-up through phone, SMS, email, and social channels. HighLevel also provides API integrations, membership and course-management tools, and white-label options that let businesses offer the platform under their own brand. For job seekers, the company’s profile reflects work centered on building and supporting a broad business-automation product used across consulting, logistics, and other service-oriented organizations.
Staff Data Scientist, Growth & Expansion — HighLevel (Remote, India)
Lead measurement of customer growth across activation, conversion, product adoption, and expansion for HighLevel’s AI-powered business platform. Partner with Product, GTM, Marketing, and Finance teams in a global remote-first organization.
Description
- Own customer-growth measurement across onboarding, activation, trial conversion, multi-product adoption, and expansion revenue
- Analyze early- and mid-lifecycle behaviors to identify expansion signals and prioritize growth initiatives
- Link product behavior data with GTM and marketing investment and Finance growth objectives
- Model agency-to-sub-account activation and expansion within the B2B2C business model
- Collaborate on disciplined growth experiments and separate causal evidence from correlation
- Work with Product Strategy & Growth on TTP, churn, and add-on initiatives
- Define company-wide standards for growth measurement, canonical metrics, segmentation, and value models
- Develop reusable approaches to growth measurement and causal inference
- Convert analytical findings into decision-ready recommendations for Growth, GTM, Finance, and product leaders
- Advise Growth, GTM, and Finance leaders while establishing analytical standards for neighboring teams
- Identify data-quality gaps for Analytics Engineering and help shape the event taxonomy
- Use AI tools such as Claude to accelerate analysis, exploration, and documentation
Requirements
- At least nine years of experience in product or growth analytics, data science, or applied statistics, including activation, retention, conversion, and expansion
- Demonstrated success creating a metrics or value framework adopted by multiple teams and tied to measurable outcomes
- Advanced applied-statistics skills, including framing causal analyses and recognizing correlational failure modes
- Hands-on experience with experimentation, including A/B test design, power analysis, guardrails, and balanced interpretation
- Strong SQL skills and practical proficiency with Python
- Experience working in Snowflake and dbt environments
- Ability to turn behavioral and revenue data into segment-level insights that influence product, growth, or GTM decisions
- Comfort working with incomplete, evolving data while using governed data sources
- Ability to align Growth, GTM, Finance, and product stakeholders around shared metrics without direct authority
- Background in B2B SaaS, CRM, or product-led growth, particularly freemium, trial, and land-and-expand models
- Experience with usage-based, consumption, or add-on revenue
- Familiarity with Statsig or a similar experimentation platform
- Exposure to AI-supported analytics workflows
- Experience mentoring analysts
Benefits
- Work in a global remote-first organization
- Collaborate with colleagues across more than 10 countries
- Opportunity to build and lead a pod as the scope expands
- Use company-provided AI tools, including Claude and similar products, for exploration, documentation, and analysis