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.
  • Partner directly with vertical stakeholders to frame problems around business metrics and outcomes.
  • Build, validate, and document models for priority verticals and advertising performance.
  • Hand off the ML engineering last mile to an ML engineering partner and stay engaged through deployment.
  • Monitor live model performance and analyze results to improve ROAS and media efficiency.
  • Drive lead quality improvements across brands, funnels, messaging, and content.
  • Identify new modeling opportunities that the business has not already flagged.
  • Maintain trusted output with low correction burden and measurable impact.
  • Work closely with ML engineering rather than operating in isolation.

Requirements

  • 5+ years of hands-on applied data science experience delivering measurable business impact.
  • Proven experience in digital marketing, performance marketing, or the leadgen industry.
  • Strong modeling fundamentals with the ability to build models that drive business impact.
  • Multi-year, hands-on experience building and deploying ML solutions in AWS.
  • Hands-on experience with multi-armed bandits or reinforcement learning.
  • 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.
  • Expert-level Python and SQL skills.
  • Experience building adtech algorithms and supporting user acquisition or paid media modeling is highly desired.
  • Insurance domain experience is preferred.
  • Experience with sophisticated ML at companies where paid digital media is core to the business model 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 platforms is preferred.
  • Familiarity with Looker is preferred.
  • Experience applying LLMs or deep learning to personalization or content is preferred.

Interested in this position?

Apply directly on the company website

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