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Lead Applied Scientist, Marketing

Launch Potato

United States (remote) · Remote · Senior

Listed on Launch Potato’s own careers site. You apply with them directly — we never stand between you and the employer.

What this role is

This role owns the machine learning strategy for a marketing vertical at a performance-focused lead generation platform, building models that optimize customer acquisition cost and return on ad spend. It suits data scientists with 5+ years shipping ML solutions in production, who thrive on full-stack ownership from problem definition through deployed performance, and who think in terms of business metrics first.

Our summary, not Launch Potato’s wording. The full posting is on their site.

Skills this role names

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What they ask for

Required

  • 5+ years hands-on applied data science role with measurable business impact
  • Proven experience in digital marketing, performance marketing, or leadgen
  • Building adtech algorithms and user acquisition or paid media models
  • Strong modeling fundamentals that drive business outcomes
  • Multi-year hands-on experience building and deploying ML solutions on AWS
  • Expert Python and SQL proficiency
  • Experience with multi-armed bandit and reinforcement learning techniques
  • Experience with recommendation and ranking systems
  • Hands-on funnel and monetization optimization
  • LTV modeling experience

Nice to have

  • Sophisticated ML work at companies where paid digital media is core to business model
  • Creative embeddings work incorporating creative and content into paid media models
  • Insurance domain experience
  • State-of-the-art ad ranking algorithm experience
  • Modeling with ad platform data (Google, Meta, native)
  • LLM or deep learning applied to personalization or content
  • Looker familiarity

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