Staff Data Scientist, Product at Fetch

Job description

Meet Fetch AI & Data AI & Data at Fetch sit at the center of how we understand our business, make decisions, and build intelligent products. The organization operates as an integrated AI & data ecosystem, spanning multiple disciplines, including data engineering, analytics engineering, machine learning, experimentation, and data platforms, all working together to turn data into durable business and customer impact. Teams operate in complex problem spaces where requirements evolve, tradeoffs are constant, and the right answer is rarely obvious. Success depends on strong technical judgment, comfort with ambiguity, and the ability to gather context and make informed decisions while balancing quality, performance, scalability, and responsible use. Practitioners across this org contribute hands-on to production systems, analytical foundations, and intelligent features. You will collaborate closely with product, platform, and engineering partners, help shape standards and best practices, and ensure our AI and data capabilities scale reliably as Fetch grows. About the Role: Fetch’s off-platform data business monetizes our data beyond the app through audience segments, measurement capabilities, and data feeds. We are seeking a Staff Data Scientist to build the foundations of this business and accelerate its growth, serving as technical lead for a small team of data scientists while remaining hands-on in building the models and systems behind our data products. You’ll set the technical direction across audiences, measurement, and data feeds, and personally architect and build the models and systems behind them, from early prototypes through scalable production use. On the audience side, you’ll build predictive models that extend Fetch’s reach well beyond our own user base, shape the relevance and ranking approaches that match the right audiences to each advertiser’s goals, and apply those capabilities to in-product work as well. On the measurement side, you’ll own the frameworks that turn campaign data into trusted proof of sales impact, using causal inference to separate true advertising effects from noise. You’ll also set the quality bar for your team through hands-on mentorship and rigorous reviews, champion our methodology with customers, partners, and industry leaders, and align senior leaders around clear, decisive recommendations. You’ll build strong partnerships across product, engineering, and Go-to-Market teams to help establish Fetch’s approach as a trusted market standard. What you’ll do at Fetch: Lead a small team of data scientists as technical lead, owning the quality and delivery of the team's work. Set the technical direction and roadmap across audiences, measurement, and data feeds, partnering with product and engineering on the design, quality, and coverage of the data delivered to partners. Architect and build the models and systems behind our data products. Develop data scientists in causal inference, predictive modeling, and clear communication. Build predictive models that identify likely buyers and extend audiences beyond Fetch's user base. Shape relevance and ranking approaches that match the right audiences to advertiser goals. Define how audience quality is evaluated and articulate what differentiates Fetch audiences in a crowded market. Extend these models to in-product use cases, such as acquiring high-value users for Fetch. Own the measurement frameworks that connect ad exposure to verified conversions using Fetch data, and turn one-off analyses into repeatable, scalable products. Drive the application of causal inference and experimental design to establish whether advertising drove outcomes. Champion our methodology with customers, partners, and industry leaders, anticipating the challenges they will raise. Establish our approach as a trusted market standard through clear documentation and evangelism. Align senior leaders around clear, decisive recommendations on strategy and tradeoffs. Develop strong pa