Responsibilities
- Lead end-to-end data science initiatives for a key business vertical, spanning problem definition, model development, deployment, and performance tracking focused on return on ad spend and revenue impact.
- Work deeply with data and modeling efforts, directly collaborating with stakeholders to define challenges, develop and test models, coordinate final engineering integration, and remain involved post-deployment for monitoring and analysis.
- Initial focus on Insurance and Advertiser Quality domains, with opportunities to expand into additional areas over time.
- Primary success metric is return on advertising spend (ROAS).
Work Arrangement
Remote (Worldwide) — South Florida, 15 countries
Responsibilities
- Own the full data science engine for a priority vertical, from business problem to deployed model to live ROAS performance, driving measurable revenue and media efficiency.
- Be heavily immersed in the data and the modeling, framing the business problem directly with stakeholders, building and validating the model, handing the ML-engineering last mile to your ML engineering partner, and staying engaged through deployment, monitoring, and performance analysis.
- Start focusing on Insurance and Advertiser Quality, with scope that broadens over time.
- Primary metric is ROAS.
