ROAS-Driven AdTech Data Scientist (Remote-First)

Nashville Public Radio; Jersey City (NJ); On-site; USD 175,000 - 200,000; Full time

Job summary

Launch Potato, a remote-first data science powerhouse, is seeking a senior data scientist to own the full data science engine for a priority vertical. You will translate business problems into deployed models, collaborating with stakeholders, ML engineers, and advertisers to drive ROAS and media efficiency.

Initially focusing on Insurance and Advertiser Quality, you will build and validate models end-to-end, monitor performance, and identify new modeling opportunities across our brands,

Qualifications

• 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

Responsibilities

• 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.
• Frame business problems directly with stakeholders, build and validate models, and hand off the ML-engineering last mile to ML engineers.
• Stay engaged through deployment, monitoring, and performance analysis.
• You will start focusing on Insurance and Advertiser Quality, with scope that broadens over time.

Skills

Python

SQL

ML

AWS

Digital marketing

Tools

Looker

Job description

Launch Potato, a remote-first data science powerhouse, is seeking a senior data scientist to own the full data science engine for a priority vertical. You will translate business problems into deployed models, collaborating with stakeholders, ML engineers, and advertisers to drive ROAS and media efficiency.

Initially focusing on Insurance and Advertiser Quality, you will build and validate models end-to-end, monitor performance, and identify new modeling opportunities across our brands,