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 immersed in the data and the modeling, framing the business problem directly with stakeholders, building and validating the model, and staying engaged through deployment, monitoring, and performance analysis.
What You Will Do
Your primary responsibilities will include owning the Insurance vertical's primary modeling work end-to-end with measurable ROAS impact, delivering buying models that maintain positive ROAS and quality, driving lead quality improvements across our portfolio of brands, establishing a trusted partnership with vertical business stakeholders, and producing trusted output.
Why It Might Be a Fit
We are looking for a candidate with 5+ years of experience in a hands-on, in-the-weeds applied data science role delivering measurable business impact. You should have a strong background in building adtech algorithms, multi-armed bandit/reinforcement learning, recommendation and ranking systems, funnel and monetization optimization, and LTV modeling. Expertise in Python and SQL is also required.
Requirements
- Proven experience in digital marketing, performance marketing, or the leadgen industry
- Building adtech algorithms and supporting user acquisition or paid media modeling
- 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
- 5+ years in a hands-on, in-the-weeds applied data science role delivering measurable business impact
Benefits
- Base salary paid semi-monthly
- Profit-sharing bonus
- Competitive benefits
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