Lead Applied Scientist, Marketing

🕒 July 1

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🧬 Research Scientist

👻 Ghost score 47%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 • Collaborate directly with stakeholders, building and validating models, and ensuring effective deployment and performance analysis • Start focusing on Insurance and Advertiser Quality, with future scope expansions • Drive lead quality improvements across various brand portfolios leading to revenue growth

🎯 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, 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

• Competitive salary • Profit-sharing bonus • Health insurance • Flexible work arrangements