Staff Data Scientist, Marketing

3 weeks, 2 days ago
Full-time
Senior
Data Science and Analytics
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 to deployed model and live performance analysis.
  • Work directly with stakeholders to frame business problems around measurable metrics and outcomes.
  • Build, validate, and document models that support buying, lead quality, funnel, and monetization optimization.
  • Partner with ML engineering on the final deployment stage while staying engaged through launch and monitoring.
  • Track model performance and ensure outputs are trusted, accurate, and low-maintenance.
  • Identify new modeling opportunities that the business has not yet surfaced.
  • Drive improvements in ROAS, media efficiency, and revenue growth across multiple brands and funnels.
  • 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 lead generation industry.
  • Multi-year, hands-on experience building and deploying ML solutions in AWS.
  • Strong modeling fundamentals and the ability to build models that drive business impact.
  • Expert-level Python and SQL skills.
  • Experience with adtech algorithms and user acquisition or paid media modeling (highly desired).
  • Hands-on experience with multi-armed bandits or reinforcement learning.
  • Experience with recommendation and ranking systems, including content-based, collaborative filtering, and hybrid approaches.
  • Experience with funnel and monetization optimization and LTV modeling.
  • Insurance domain experience, Looker familiarity, or deep learning/LLM work applied to personalization or content (preferred).

Benefits

  • Base salary of $175,000 to $200,000 per year, paid semi-monthly.
  • Profit-sharing bonus.
  • Competitive benefits package.
  • Remote-first work environment with a globally distributed team.
  • Performance-based compensation growth tied to company and individual results.
  • Opportunity to work at a profitable, high-growth company with measurable impact.

Interested in this position?

Apply directly on the company website

Apply Now

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