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

Industrials

51-250 (150)

Founded 2014

23 open positions

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Lead Applied Scientist, Marketing

3 weeks, 3 days ago

United States

Full-time

Senior

Data Scientist

Data Science and Analytics

AWS Deep Learning Digital Marketing Facebook Ads Google Ads LLM Looker Machine Learning Python Reinforcement Learning SQL

Apply Now

Launch Potato

Professional Services

51-250

Founded 2014

View All Jobs 23

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 machine learning models for buying, quality, and lead optimization.
Hand off the ML engineering last mile to an ML engineering partner and stay engaged through deployment and monitoring.
Analyze live model performance and use results to improve ROAS and media efficiency.
Identify new modeling opportunities across the business that have not yet been flagged.
Improve lead quality across brands, funnels, content, and messaging with measurable revenue impact.
Maintain trusted output with low correction burden through validation and documentation.

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.
Strong modeling fundamentals with the ability to build models that drive business impact.
Multi-year hands-on experience building and deploying machine learning solutions in AWS.
Expert-level Python and SQL skills.
Experience with adtech algorithms and user acquisition or paid media modeling is highly desired.
Hands-on experience with multi-armed bandits or reinforcement learning, recommendation and ranking systems, funnel and monetization optimization, and LTV modeling.
Experience at companies where paid digital media is core to the business model is a plus.
Insurance domain experience is a plus.
Familiarity with Looker is a plus.

Benefits

Base salary of $175,000 to $200,000 per year, paid semi-monthly.
Profit-sharing bonus.
Competitive benefits package.
Remote-first team environment.
Performance-based future increases instead of annual cost-of-living adjustments.

Interested in this position?

Apply directly on the company website

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