Staff Data Scientist, Marketing

Who are we?

Launch Potato is a profitable digital media company reaching over 30M+ monthly visitors through brands like FinanceBuzz, All About Cookies, and OnlyInYourState. As The Discovery and Conversion Company, our mission is to connect consumers with leading brands through data-driven content and technology. Based in South Florida with a remote-first team globally, we foster a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.

Why join us?

At Launch Potato, you'll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers. Base salary ranges from $175,000 to $200,000 annually, paid semi-monthly. Must have proven experience in digital marketing, performance marketing, or leadgen, with strong modeling fundamentals and hands-on experience in AWS cloud and various ML techniques.

Must Have

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

Your Role

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. Hands-on, in-the-weeds role: 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.

Outcomes

• 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

Competencies

• Business-first framing: starts with the problem and the metric, not the model
• Full-stack ownership: stays engaged from problem definition through deployed performance
• Proactive communication: closes loops without being chased
• Collaborative: leans on ML engineering for the last mile rather than working solo
• Coachable: seeks feedback and turns it into visible behavior change
• Curiosity paired with delivery discipline

Nice to Haves

• Sophisticated ML at companies where paid digital media is core to the business model
• Creative embeddings work: incorporating embeddings of creatives, videos, headlines, and search into paid media models
• Insurance domain experience
• Creating state-of-the-art Ad Ranking algorithms
• Modeling against ad-platform data points (Google, Meta, native)
• LLMs / deep learning applied to personalization or content
• Familiarity with Looker

Total Compensation

Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, meaning future increases will be based on company and personal performance, not annual cost of living adjustments.