Staff Applied Scientist – AdTech

🕒 July 1

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Launch Potato

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

📣 Marketing

📱 Media

👥 B2C

Marketing • Media • B2C

Launch Potato is South Florida's fastest growing digital media company, founded by a group of young and ambitious individuals with a history of building successful direct-to-consumer digital businesses. Headquartered in Delray Beach, FL, Launch Potato operates with a distributed global team. The company focuses on solving complex problems with smart marketing, great engineering, data science, and fun, emphasizing its commitment to innovation and scalability.

📋 Description

• 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

🎯 Requirements

• 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 • 5+ years in a hands-on, in-the-weeds applied data science role delivering measurable business impact

🏖️ Benefits

• Base salary is set according to market rates for the nearest major metro • Profit-sharing bonus • Competitive benefits • Performance-driven company: future increases based on company and personal performance, not annual cost of living adjustments