Lead Data Scientist, AdTech

As a Lead 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.

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, and driving lead quality improvements across our portfolio of brands.

Why It Might Be a Fit

You will be a good fit for this role if you have a strong background in digital marketing, performance marketing, or the leadgen industry, and experience building adtech algorithms and supporting user acquisition or paid media modeling.

Requirements

• Proven experience in digital marketing, performance marketing, or the leadgen industry
• Building adtech algorithms and supporting user acquisition or paid media modeling (highly desired)
• 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 (content-based, collaborative filtering, hybrid), 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: $175,000 to $200,000 per year, paid semi-monthly
• Profit-sharing bonus
• Competitive benefits