Launch Potato

Launch Potato

Launch Potato is a South Florida-based startup studio that connects the world's fastest growing brands to customers across the consumer journey. Founded by ambitious individuals, they leverage data, science, and fun to build successful digital companie...

Professional Services
51-250
Founded 2014

Description

  • Own the full data science workflow from business problem definition through deployed model performance.
  • Work directly with vertical stakeholders to frame problems around business goals and key metrics.
  • Build, validate, and document models that improve media efficiency and revenue outcomes.
  • Partner with ML engineering on the deployment and last-mile implementation of models.
  • Stay engaged after deployment to monitor performance and analyze results.
  • Develop buying models that maintain positive ROAS and quality.
  • Improve lead quality across brands, funnels, content, and messaging experiences.
  • Identify new modeling opportunities that are not already flagged by the business.

Requirements

  • 5+ years of hands-on applied data science experience delivering measurable business impact.
  • Proven experience in digital marketing, performance marketing, or the lead generation industry.
  • Multi-year, hands-on experience building and deploying ML solutions in the AWS cloud.
  • Strong modeling fundamentals with the ability to build models that drive business impact.
  • Expert-level Python and SQL.
  • Hands-on experience with multi-armed bandit or reinforcement learning techniques.
  • Hands-on experience with recommendation and ranking systems, including content-based, collaborative filtering, and hybrid approaches.
  • Hands-on experience with funnel and monetization optimization and LTV modeling.
  • Experience building adtech algorithms and supporting user acquisition or paid media modeling is highly desired.
  • Experience with sophisticated ML in companies where paid digital media is core to the business model is preferred.
  • Creative embeddings experience with creatives, videos, headlines, or search is preferred.
  • Insurance domain experience is preferred.
  • Experience creating state-of-the-art ad ranking algorithms is preferred.
  • Experience modeling against ad-platform data points such as Google, Meta, or native is preferred.
  • LLMs or deep learning applied to personalization or content is preferred.
  • Familiarity with Looker is preferred.

Benefits

  • Remote-first team spanning over 15 countries.
  • Headquartered in South Florida.
  • Opportunity to work with a profitable, high-growth digital media company.
  • Career acceleration through high ownership and measurable impact.
  • Equal Employment Opportunity company with a commitment to diversity, equity, and inclusion.

Interested in this position?

Apply directly on the company website

Apply Now

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