Staff Data Scientist, Fetch

• 8+ years of total experience in data science or applied statistics, including 3+ years of industry experience building ads platform capabilities, such as audience products or measurement systems
• Strong statistical foundation, with deep expertise in causal inference and advertising measurement
• Hands-on experience building and architecting predictive modeling systems for advertising as well as relevance and ranking systems
• Experience building systems that run beyond a prototype, with the ability to partner with engineering to take them into production
• Experience leading or mentoring other data scientists, including setting technical direction and reviewing the quality of their work
• Experience leveraging modern analytics tooling such as Python, SQL, Snowflake, and dbt
• A clear track record of influencing senior leadership and partnering with product and engineering stakeholders
• Clear and decisive written and verbal communication, including the ability to explain complex methodology to non-technical audiences
• Demonstrated initiative in identifying problems others haven’t and driving them to resolution across teams
• Demonstrated ability to evaluate AI tools critically and apply them where they meaningfully improve results
• Bachelor’s degree in a quantitative field

Desirable

• 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 partnerships across product, engineering, and Go-to-Market teams, including sales and business development
• Carry work from prototype to production alongside ML engineering, data engineering, and platform teams
• Spot gaps others haven't, build alignment across stakeholders, and sustain momentum on long-running initiatives