Remote Staff Data Scientist - ROAS & Insurance ML Lead

Socket.dev; Arlington (VA); On-site; USD 175,000 - 200,000; Full time

Job summary

Launch Potato seeks a senior data scientist to own the full data science engine for a priority vertical, driving ROAS and media efficiency. You will work hands-on with data and ML engineering to deploy, monitor, and optimize models in collaboration with stakeholders across brands.

You will initially focus on Insurance and Advertiser Quality, with scope expanding over time, delivering measurable revenue impact through robust modeling and cross-functional partnerships.

Qualifications

• Proven experience in digital marketing, performance marketing, or the leadgen industry.
• Experience building adtech algorithms and 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.
• This is a hands-on, in-the-weeds role: you are heavily immersed in the data and the modeling, framing the business problem directly with stakeholders, building and validating the model, handing the ML-engineering last mile to your ML engineering partner, and staying engaged through deployment, monitoring, and performance analysis.
• You will start focusing on Insurance and Advertiser Quality, with scope that broadens over time.
• Your primary metric is ROAS.
• 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: Messaging, Funnels, Content/Listicles, and more resulting in measurable impact to revenue growth
• Establish trusted, direct partnership with vertical business stakeholders
• Produce trusted output: validated, documented, low correction burden
• Identify and leverage net-new modeling opportunities the business has not flagged

Skills

Digital marketing

Adtech algorithms

Modeling fundamentals

ML on AWS

Bandit / RL techniques

Ranking systems / optimization

Python

SQL

Tools

Looker

Job description

Launch Potato seeks a senior data scientist to own the full data science engine for a priority vertical, driving ROAS and media efficiency. You will work hands-on with data and ML engineering to deploy, monitor, and optimize models in collaboration with stakeholders across brands.

You will initially focus on Insurance and Advertiser Quality, with scope expanding over time, delivering measurable revenue impact through robust modeling and cross-functional partnerships.