Senior Data Scientist — ROAS & Adtech (Remote)

Launch Potato; Miami (FL); On-site; USD 175,000 - 200,000; Full time

Job summary

Launch Potato, a profitable digital media company headquartered in South Florida with a remote-first team, seeks a senior data scientist to own the data science engine for a priority vertical. You will drive ROAS through end-to-end modeling, from problem framing to deployment, collaborating with ML engineers and stakeholders.

Initial focus on Insurance and Advertiser Quality; you will build and validate models, monitor performance, and seek new modeling opportunities to boost revenue across

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.
• This is a hands-on role: you are deeply involved in data and modeling, partnering with ML engineers to hand off the ML engine, and monitoring performance after deployment.
• You will start focusing on Insurance and Advertiser Quality, with scope broadening over time; ROAS is the primary metric.

Skills

Python

SQL

ML modeling

Reinforcement learning

Adtech algorithms

Marketing analytics

Tools

AWS

Job description

Launch Potato, a profitable digital media company headquartered in South Florida with a remote-first team, seeks a senior data scientist to own the data science engine for a priority vertical. You will drive ROAS through end-to-end modeling, from problem framing to deployment, collaborating with ML engineers and stakeholders.

Initial focus on Insurance and Advertiser Quality; you will build and validate models, monitor performance, and seek new modeling opportunities to boost revenue across