> Markdown version of [/jobs/ext/283798-senior-data-scientist-growth](https://www.wearedevelopers.com/jobs/ext/283798-senior-data-scientist-growth). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist, Growth - **Company:** Fal - Features & Labels, Inc. - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $190,000.0 - $230,000.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Python (Programming Language), Sql Optimization, Api Management - **Published:** May 14, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=97c48bbe4ebad470 ## About the Role Do you have experience in Taxonomy?, * 5+ years of experience in data science, growth analytics, or growth strategy, ideally at PLG or developer-tools companies with a commercial motion. * Experience building growth analytics infrastructure from early stages - you've defined the taxonomy, stood up the pipelines and dealt with the messy reality of instrumenting a product that wasn't built with measurement in mind. * A strategy-and-tactics mindset - you don't just measure growth, you recommend what to do next and see those recommendations through. * Hands-on experience with channel-level acquisition analysis across paid (Google, Meta), organic, content, community, and partnerships, including the judgment to evaluate channels with limited data. * Strong fluency with growth unit economics - CAC, LTV, LTV:CAC, payback period, ROAS, attribution, and incrementality. * Experience building LTV and cohort models, including in environments where the data is sparse or the product is evolving quickly. * Advanced SQL and proficiency in Python for analytics and experimentation. * Strong experimentation chops: A/B testing, holdout designs, causal inference and the pragmatism to know when a quick read is better than a perfect test. * Comfort with ambiguity and an owner mentality. * A track record of shipping growth experiments and recommendations that changed how a marketing budget got spent., * Experience standing up performance marketing measurement for a team scaling from zero to meaningful ad spend. * Experience working on developer-facing or API products. * Background in community-led, content-led, or partnerships-led growth motions. * Early-stage or fast-scaling environment experience, especially as a first or early data hire supporting marketing. ## Description * Build fal's growth measurement foundation - define the event taxonomy, attribution model, channel hierarchy, and reporting infrastructure that the entire marketing org will run on. * Stand up acquisition analytics across paid, organic, content, community, and partnership channels, starting from early-stage instrumentation and working toward a unified view of channel performance. * Shape our top-of-funnel growth strategy alongside marketing and leadership; translate early signals from nascent channels into clear recommendations on where to double down, where to experiment, and where to wait. * Define and operationalize the unit economics of fal's growth motion (CAC, LTV, LTV:CAC, payback period, ROAS, and cohort performance by channel). * Design and run growth experiments end-to-end: shape the hypothesis, build the measurement plan, analyze the results, and turn findings into the next round of bets. * Help shape the broader data and analytics capability supporting growth as the team scales. ## Related Videos - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [From APIs to MCP: Enterprise Governance, Registry, and Controls](https://www.wearedevelopers.com/videos/100336-from-apis-to-mcp-enterprise-governance-registry-and-controls) - [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Would You Buy Your Own HR? A Product Mindset for People Leaders](https://www.wearedevelopers.com/videos/1874-would-you-buy-your-own-hr-a-product-mindset-for-people-leaders) - [Beyond Autocomplete: Local AI Code Completion Demystified](https://www.wearedevelopers.com/videos/961-beyond-autocomplete-local-ai-code-completion-demystified) ## Related Articles - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Best Companies to work for in London: Top 25 Companies in 2023](https://www.wearedevelopers.com/magazine/187-best-companies-to-work-for-in-london-top-25-companies-in-2023) - [Dev Digest 119 - ❤️ === ❤️](https://www.wearedevelopers.com/magazine/454-dev-digest-119)