Staff Data Scientist - Experimentation & Causal Inference

HighLevel

Remote regions

US

Benefits

Similar Jobs

See all

About the Role:

  • We're hiring our first Staff Data Scientist to define how HighLevel learns from experiments and turns results into trustworthy product decisions.
  • This is a founding, hands-on IC role with executive sponsorship and a path to build out a Data Science team.

Responsibilities:

  • Define the end-to-end methodology every team follows, from hypothesis to decision, and make it the default.
  • Own the statistical approach for small-sample, fast-paced contexts, including variance reduction and multiple comparisons.
  • Apply rigorous causal inference when clean experiments aren't feasible.

Requirements:

  • 9+ years in data science or applied statistics with deep hands-on experiment design experience.
  • Strong applied statistics, practical causal inference, and experience in small-sample, multi-product environments.
  • Strong SQL and working proficiency in Python or R, with cross-functional influence skills.

HighLevel

HighLevel is an AI-powered business operating system that gives agencies, entrepreneurs, and SMBs the infrastructure to build, automate, and scale. With over 2,000 team members across 10+ countries, it operates as a global, remote-first organization built for speed and ownership.

Apply for This Position