Staff Applied Scientist, AdTech

As a Staff Applied Scientist, AdTech, 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 start focusing on Insurance and Advertiser Quality, with scope that broadens over time. Your primary metric is ROAS.

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

To be successful in this role, you will need to have a strong background in digital marketing, performance marketing, or the leadgen industry, with experience in building adtech algorithms and supporting user acquisition or paid media modeling. You will also need to have hands-on experience building and deploying ML solutions in the AWS cloud, as well as expertise in Python and SQL.

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 (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