{"id":2776619,"url":"https://alion.io/job/highlevel-staff-data-scientist-growth-expansion","title":"Staff Data Scientist - Growth & Expansion","company":{"id":3882884,"name":"HighLevel","domain":"highlevel.co","url":"https://alion.io/company/highlevel-3","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":29000,"max_usd":57000,"period":"year","method":"role_seniority_country_cell","sample_n":17},"experience_years_min":9,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Claude","optional":false},{"name":"dbt","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-28T23:11:17Z","employer_posted_date":null,"last_verified_at":"2026-09-28T23:11:17Z","board_verified":false,"closed_at":null,"days_open":19,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":19},"description":"About HighLevel:\n\nHighLevel is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. Today, HighLevel supports SMBs across 150+ countries, fueling community-driven growth rooted in real customer outcomes.\n\nTo date, businesses operating on HighLevel have generated over $7 billion in ecosystem value, demonstrating the impact of shared infrastructure at scale. By centralizing conversations, automation and intelligence into one system, we help businesses move faster, reduce complexity and execute efficiently.\n\nBehind the platform, HighLevel 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.\n\nOur People\n\nWith over 2,000 team members across 10+ countries, HighLevel 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.\n\nOur Impact\n\nEvery month, HighLevel 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.\n\nLearn more about us on our YouTube Channel or Blog Posts .\n\nAbout the Role:\n\nWe're hiring a Staff Data Scientist, Growth & Expansion to own one outcome - customer growth - across every team that shapes it. Growth at HighLevel 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.\n\nThis 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.\n\nResponsibilities:\n\nOwn 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\nIdentify 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\nConnect product signal to GTM/marketing spend and Finance's growth targets - a single evidence base the whole growth motion shares\nModel the B2B2C dynamic - agency → sub-account activation and expansion - and surface where compounding value is created or lost\nPartner with the Experimentation & Causal Inference lead to design and read growth experiments rigorously; hold causal vs. correlational claims to a real bar\nPartner with the Product Strategy & Growth org on the TTP/churn and add-ons charters so definitions and models are shared, not duplicated\nSet 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\nBuild the growth-measurement and causal-inference framework - the standards and reusable methods that Analytics Engineering and adjacent DS teams reuse beyond this mandate\nTranslate findings into decision-grade guidance for Growth, GTM, Finance, and product leaders; influence roadmap and investment without owning them\nAct 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\nFlag data gaps to Analytics Engineering and shape the event taxonomy the funnel and value model depend on\nUse AI tooling (Claude and similar) to move faster on exploration, documentation, and analysis\n\nRequirements:\n\n9+ years in product/growth analytics, data science, or applied statistics, with deep experience across activation, retention, conversion, and expansion motions\nTrack record where you built a metric or value framework that multiple teams drove real outcomes with - this role owns an outcome across boundaries, not reports for one team\nStrong applied statistics - you design analysis to the causal question and know the failure modes of correlational reads\nFluency partnering on experiments (A/B design, power, guardrails) and interpreting results honestly\nStrong SQL and working proficiency in Python; comfort in a Snowflake + dbt environment\nExperience turning behavioral and revenue data into segment-level insight that changed a product, growth, or GTM decision\nComfort amid imperfect, in-progress data - you consume governed sources and raise the bar rather than rebuilding pipelines\nCross-functional influence - you align Growth, GTM, Finance, and product leaders on shared numbers without direct authority\n\nNice to Have:\n\nB2B SaaS, CRM, or product-led growth background, especially freemium/trial and land-and-expand motions\nUsage-based/consumption or add-on revenue exposure (expansion surfaces)\nFamiliarity with Statsig or a comparable experimentation platform\nExposure to AI-assisted analytics workflows; experience mentoring analysts\n\nSuccess in this role looks like:\n\nGrowth, GTM, Finance, and product teams share one trusted value model connecting adoption to TTP, retention, and expansion - and invest behind it\nExpansion drivers (not just conversion drivers) are named, quantified by segment, and on the roadmap across the teams that own them\nLeaders across the growth motion make roadmap and spend calls off your analysis, not gut feel\nThe customer-growth mandate has reusable patterns and the foundation to scale beyond one IC\n\nEEO Statement:\n\nThe company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government recordkeeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision.\n\nWe encourage you to review our Privacy Policy before submitting your application\n\nWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. 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