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Lead Applied Scientist, Marketing at Launch Potato. . Location: Belo Horizonte, Brazil (remote); Brasilia, Brazil (remote); Curitiba, Brazil (remote); Fortaleza, Brazil (remote); Manaus, Brazil (remote); Porto Alegre, Brazil (remote); Recife, Brazil (remote); Rio de Jaineiro, Brazil (remote); Salvador, Brazil (remote); Sao Paulo, Brazil (remote). WHO ARE WE?. . Launch Potato. is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as . FinanceBuzz. , . All About Cookies. , and. OnlyInYourState. .. . As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.. . Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built 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.. 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: 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. . . 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. 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.. . 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. . Want to accelerate your career? Apply now!. . Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion. . . We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.