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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Staff Applied Scientist, AdTech

3 weeks, 3 days ago

Chile

Full-time

Senior

Data Scientist

Data Science and Analytics

AWS Deep Learning Digital Marketing 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 for a priority vertical from business problem framing to deployed model performance.
Work directly with stakeholders to define problems, metrics, and modeling objectives.
Build, validate, and document machine learning models that drive ROAS and revenue impact.
Partner with ML engineering on deployment and the last-mile implementation of models.
Monitor live model performance and analyze outcomes after deployment.
Improve lead quality across brands and channels, including messaging, funnels, content/listicles, and related areas.
Identify new modeling opportunities not already flagged by the business.
Maintain trusted, low-correction, business-ready outputs.
Use data science to support insurance vertical and advertiser quality initiatives as scope expands.

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.
Highly desired experience building adtech algorithms and supporting user acquisition or paid media modeling.
Strong modeling fundamentals and the ability to build effective models that drive business impact.
Multi-year, hands-on experience building and deploying ML solutions in AWS.
Hands-on experience with multi-armed bandit or reinforcement learning techniques.
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 at companies where paid digital media is core to the business model is a plus.
Insurance domain experience is preferred.
Experience creating state-of-the-art ad ranking algorithms is preferred.
Experience modeling against ad-platform data from Google, Meta, or native channels is preferred.
Familiarity with Looker is preferred.
Experience with LLMs or deep learning for personalization or content is preferred.
Creative embeddings experience using creatives, videos, headlines, or search in paid media models is preferred.

Benefits

Remote-first team spanning over 15 countries.
Headquartered in South Florida.
Equal Employment Opportunity employer.
Commitment to diversity, equity, and inclusion.

Interested in this position?

Apply directly on the company website

Apply Now

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