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Data Scientist Expansion

Job in Philadelphia, Philadelphia County, Pennsylvania, 19117, USA
Listing for: Lever, Inc.
Full Time position
Listed on 2026-10-09
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR
Job Description & How to Apply Below
Position: Staff Data Scientist - Growth & Expansion
About High Level:

High Level is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. Today, High Level supports SMBs across 150+ countries, fueling community-driven growth rooted in real customer outcomes.

To date, businesses operating on High Level have generated over $7 billion in ecosystem value, demonstrating the impact of shared infrastructure  centralizing conversations, automation and intelligence into one system, we help businesses move faster, reduce complexity and execute efficiently.

Behind the platform, High Level powers more than 4 billion API hits and 2.5 billion message events daily. With 250 terabytes of distributed data, 250+ microservices and over 1 million domain names supported, our architecture is built for performance, resilience and long-term scalability.

Our People

With over 2,000 team members across 10+ countries, High Level operates as a global, remote-first organization built for speed and ownership. We value initiative, clarity and execution, creating space for ambitious people to build systems that support millions of businesses worldwide. Here, innovation thrives, ideas are celebrated and people come first, no matter where they call home.

Our Impact

Every month, High Level enables more than 1.5 billion messages, 200 million leads and 20 million conversations for the more than 1 million businesses we support. Behind those numbers are real people building independence, expanding opportunity and creating measurable impact. We’re proud to be a part of that.

Learn more about us on our You Tube Channel or Blog Posts.

About the Role:

We're hiring a Staff Data Scientist, Growth & Expansion to own one outcome - customer growth - across every team that shapes it. Growth at High Level isn't the property of a single team: onboarding, activation, trial-to-paid, multi-product adoption, and expansion are driven by the Growth org, GTM, Finance, and product teams across the company. Your job is to connect those efforts with a rigorous, segment-level understanding of what actually turns a new account into a growing, multi-product customer - in a B2B2C model where an agency signs up and then activates sub-accounts - so the company invests behind what compounds, not just what converts.

This is a broad, cross-functional role. You'll work closely with Growth, GTM, Finance, and any product team whose work drives customer growth; you report centrally to Product Analytics & Data Science for craft and standards and carry the growth outcome across organizational boundaries. You'll work amid a data foundation still being built, consuming governed and certified sources rather than rebuilding source logic, and raising the bar as you go.

This is a hands‑on, direction‑setting Staff role - you advise Growth, GTM, and Finance leaders and set growth‑measurement standards that analysts on adjacent teams adopt, with a path to grow a pod as the mandate scales.

Responsibilities:
  • Own the customer‑growth outcome end to end - onboarding, activation, TTP, multi-product adoption, and expansion revenue - across Growth, GTM, and the product teams that drive it, with clear, trusted metrics at each stage
  • Identify which early and mid‑lifecycle behaviors predict expansion (second product, higher plan, add‑on attach), not just initial conversion, and turn it into a prioritized growth agenda
  • Connect product signal to GTM/marketing spend and Finance's growth targets - a single evidence base the whole growth motion shares
  • Model the B2B2C dynamic - agency → sub‑account activation and expansion - and surface where compounding value is created or lost
  • Partner with the Experimentation & Causal Inference lead to design and read growth experiments…
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