Senior Growth Data Scientist — Expansion & Value Modeling

Socket.dev; United States; Remote; USD 180,000 - 230,000; Full time

Job summary

HighLevel is seeking a Staff Data Scientist in Growth & Expansion to own customer growth end-to-end across Growth, GTM and product teams, aligning metrics and strategies to drive multi-product adoption and expansion. You will design experiments, model B2B2C dynamics, and partner with Finance and Product teams to scale value.

You will collaborate across teams to define growth signals, implement a robust analytics framework, and champion data-driven decisions that influence roadmap and

Qualifications

• 9+ years in product/growth analytics, data science, or applied statistics.
• Proven track record of building a metric or value framework that drives real outcomes across teams.
• Strong applied statistics with focus on causal questions and understanding failure modes of correlational reads.
• Fluency in experiments design (A/B), power analysis, and interpretation.
• Strong SQL and Python; comfortable with Snowflake and dbt.
• Experience turning behavioral and revenue data into segment-level insights that changed product decisions.
• Ability to operate with imperfect, in-progress data and cue governance.
• Cross-functional influence without direct authority.

Responsibilities

• Own the customer-growth outcome end to end across Growth, GTM and product teams, with trusted metrics at each stage.
• Identify early and mid-lifecycle behaviors that predict expansion and turn them into a growth agenda.
• Connect product signals to GTM/marketing spend and Finance growth targets.
• Model the B2B2C dynamic of agency → sub-account activation and expansion.
• Partner with the Experimentation & Causal Inference lead to design and read growth experiments rigorously; hold causal vs. correlational claims to a real bar.
• Partner with the Product Strategy & Growth on the TTP/churn and add-ons charters so definitions and models are shared, not duplicated.
• Set the technical direction for how customer growth is measured company-wide - own the canonical metrics, segment definitions, and value model on governed, certified data that other teams build on.
• Build the growth-measurement and causal-inference framework - the standards and reusable methods that Analytics Engineering and adjacent DS teams reuse beyond this mandate.
• Translate findings into decision-grade guidance for Growth, GTM, Finance, and product leaders; influence roadmap and investment without owning them.
• Act as a trusted analytical advisor to Growth, GTM, and Finance leaders, and set the analytical standards that DS and analysts on adjacent teams adopt - raising the bar without direct authority.
• Flag data gaps to Analytics Engineering and shape the event taxonomy the funnel and value model depend on.
• Use AI tooling (Claude and similar) to move faster on exploration, documentation, and analysis.

Skills

Strong SQL

Python

Experiment design

A/B testing

Analytical thinking

Cross-functional influence

Tools

Snowflake

dbt

Job description

HighLevel is seeking a Staff Data Scientist in Growth & Expansion to own customer growth end-to-end across Growth, GTM and product teams, aligning metrics and strategies to drive multi-product adoption and expansion. You will design experiments, model B2B2C dynamics, and partner with Finance and Product teams to scale value.

You will collaborate across teams to define growth signals, implement a robust analytics framework, and champion data-driven decisions that influence roadmap and