Role OverviewAs a Staff Data Scientist, you will 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. You will 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.
What You Will Do
You will own the Insurance vertical's primary modeling work end-to-end with measurable ROAS impact, deliver buying models that maintain positive ROAS and quality, drive lead quality improvements across our portfolio of brands, establish a trusted partnership with vertical business stakeholders, and produce trusted output.
Why It Might Be a Fit
You will have the opportunity to accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers. You will be part of a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
Requirements
- Proven experience in digital marketing, performance marketing, or the leadgen industry
- 5+ years in a hands-on, in-the-weeds applied data science role delivering measurable business impact
- Strong modeling fundamentals: the ability to build effective models that drive business impact
- Multi-year, hands-on experience building and deploying ML solutions in the AWS cloud
- Hands-on experience across core technique areas: multi-armed bandit / reinforcement learning, recommendation and ranking systems, funnel and monetization optimization, LTV modeling
- Expert Python and SQL
Benefits
- Base salary: $175,000 to $200,000 per year, paid semi-monthly
- Profit-sharing bonus
- Competitive benefits
]]>