Data Scientist - Discovery Mode

What You'll Do

• Own the analytical function for the Discovery Mode ML squad, driving evaluation and continuous improvement of the models that power measurement and campaign optimization
• Partner with ML engineers to develop evaluation frameworks and identify opportunities to improve model performance, reliability, and customer impact
• Design and execute rigorous experiments to evaluate model quality, measure outcomes, and guide model development
• Conduct deep-dive analyses to assess model performance and translate findings into clear, actionable recommendations for product and business stakeholders
• Build, maintain, and evolve dashboards that track model health, customer metrics, and program performance
• Collaborate with product managers, engineers, and cross-functional partners to align analytical priorities with squad goals and customer needs
• Contribute to the broader Product Insights community by sharing best practices and helping raise the bar for analytics across Discovery Mode

Who You Are

• You have 4+ years of experience in a data science role and a degree in data science, statistics, economics, mathematics, or a related quantitative field
• You have experience measuring customer outcomes, defining KPIs, and connecting analytical insights to product decisions
• You know how to design and implement A/B tests, understand when experimentation is the right tool, and interpret results with appropriate rigor
• You have experience evaluating machine learning model performance and partnering with ML engineers to improve model and customer outcomes
• You are comfortable working in a highly technical environment and collaborating closely with engineering partners
• You communicate complex statistical concepts clearly to both technical and non-technical audiences
• You have strong data science fundamentals, including Python, SQL, BigQuery, dbt, data storytelling, and experience working within cross-functional product teams
• You have experience in areas such as advertising measurement, recommendation systems, experimentation, or causal inference at scale

Where You'll Be

• We offer you the flexibility to work where you work best! For this role, you can be within the EST timezone region as long as we have a work location.
• This team operates within the Eastern Standard time zone for collaboration.