Role OverviewAs a Lead Data Scientist at Launch Potato, you'll own the full data science engine for a priority vertical, driving measurable revenue and media efficiency. You'll be immersed in the data and modeling, framing business problems with stakeholders, building and validating models, and staying engaged through deployment and performance analysis.
What You Will Do
Your primary responsibilities will include owning the Insurance vertical's primary modeling work, delivering buying models with positive ROAS, driving lead quality improvements, establishing a trusted partnership with vertical business stakeholders, and producing trusted output.
Why It Might Be a Fit
To be successful in this role, you'll need to have a strong foundation in modeling fundamentals, experience building and deploying ML solutions in the AWS cloud, and expertise in Python and SQL. You'll also need to be able to communicate proactively and collaborate with the ML engineering team.
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: $175,000 to $200,000 per year, paid semi-monthly
- Profit-sharing bonus
- Competitive benefits
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