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. Proven experience in digital marketing, performance marketing, or the leadgen industry Building adtech algorithms and supporting user acquisition or paid media modeling (highly desired) 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, team-oriented 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.

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.

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 Produce trusted output: validated, documented, low correction burden Identify and leverage net-new modeling opportunities the business has not flagged Business-first framing: Stays engaged from problem definition through deployed performance Leans on ML engineering for the last mile rather than working solo 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 Modeling against ad-platform data points (Google, Meta, native) LLMs / deep learning applied to personalization or content 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. #

📌 Staff Data Scientist, Marketing (Halifax Regional Municipality)
🏢 Socket.dev
📍 Halifax Regional Municipality