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 lifecycle from business problem definition through deployed model performance.
  • Work directly with stakeholders to frame problems around business metrics and outcomes.
  • Build, validate, and document models that drive ROAS and lead quality improvements.
  • Partner with ML engineering on deployment and the last-mile implementation of models.
  • Monitor live model performance and analyze results after deployment.
  • Identify new modeling opportunities not yet flagged by the business.
  • Improve buying models across brands, funnels, content, listicles, messaging, and related surfaces.
  • Maintain trusted output with low correction burden and measurable impact.
  • Establish strong working relationships with vertical business stakeholders.

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 and the ability to build effective models that impact the business.
  • Multi-year, hands-on experience building and deploying ML solutions in the AWS cloud.
  • Hands-on experience with multi-armed bandits / reinforcement learning, recommendation and ranking systems, funnel and monetization optimization, and LTV modeling.
  • Expert-level Python and SQL.
  • Experience building adtech algorithms and supporting user acquisition or paid media modeling is highly desired.
  • Experience with sophisticated ML in businesses where paid digital media is core to the model is a plus.
  • Creative embeddings work for creatives, videos, headlines, or search in paid media models is a plus.
  • Insurance domain experience is a plus.
  • Experience creating state-of-the-art ad ranking algorithms is a plus.
  • Experience modeling against ad-platform data from Google, Meta, or native platforms is a plus.
  • LLMs or deep learning applied to personalization or content is a plus.
  • Familiarity with Looker is a plus.

Interested in this position?

Apply directly on the company website

Apply Now

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