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 engine for a priority vertical from business problem definition through deployed model and live performance.
  • Work directly with stakeholders to frame business problems and define the right metrics and objectives.
  • Build, validate, and document models that drive measurable revenue and media efficiency.
  • Partner with ML engineering on the final deployment step and stay engaged through monitoring and performance analysis.
  • Deliver buying models that maintain positive ROAS and quality.
  • Improve lead quality across brands including Messaging, Funnels, and Content/Listicles.
  • Establish trusted partnerships with vertical business stakeholders.
  • Identify new modeling opportunities that the business has not yet flagged.

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.
  • Experience building adtech algorithms and supporting user acquisition or paid media modeling is highly desired.
  • Strong modeling fundamentals with 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 with multi-armed bandits or reinforcement learning, recommendation and ranking systems, funnel and monetization optimization, and LTV modeling.
  • Expert-level Python and SQL skills.
  • Experience with sophisticated ML in companies where paid digital media is core to the business model is a nice to have.
  • Creative embeddings work with creatives, videos, headlines, and search is a nice to have.
  • Insurance domain experience is a nice to have.
  • Experience creating state-of-the-art ad ranking algorithms is a nice to have.
  • Experience modeling against ad-platform data points such as Google, Meta, and native platforms is a nice to have.
  • LLMs or deep learning applied to personalization or content is a nice to have.
  • Familiarity with Looker is a nice to have.

Benefits

  • Remote-first team spanning over 15 countries.
  • Opportunity to work for a profitable, high-growth company with measurable impact.
  • Career growth through ownership and high-performance work.
  • Commitment to diversity, equity, and inclusion.
  • Equal Employment Opportunity employer.

Interested in this position?

Apply directly on the company website

Apply Now

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