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 Data Scientist, AdTech

3 weeks, 3 days ago

Chile

Full-time

Lead

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 from business problem framing to deployed model performance.
Work directly with stakeholders to define problems, metrics, and modeling approaches.
Build, validate, and document models that drive measurable revenue and media efficiency.
Partner with ML engineering on deployment and the last-mile implementation of models.
Monitor deployed models and analyze live performance and ROAS outcomes.
Develop buying models that maintain positive ROAS and quality.
Improve lead quality across brands, funnels, messaging, content, and listicles.
Identify new modeling opportunities not already flagged by the business.
Establish trusted partnerships with vertical business stakeholders.
Stay engaged through deployment, monitoring, and performance analysis.

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.
Hands-on experience building and deploying ML solutions in AWS.
Experience with adtech algorithms and user acquisition or paid media modeling is highly desired.
Strong modeling fundamentals with the ability to build effective models that drive business impact.
Expert-level Python and SQL.
Hands-on experience with multi-armed bandits and reinforcement learning.
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.
Insurance domain experience is preferred.
Experience with sophisticated ML in paid digital media businesses is preferred.
Creative embeddings work for creatives, videos, headlines, or search is preferred.
Experience creating state-of-the-art ad ranking algorithms is preferred.
Experience modeling against Google, Meta, or native ad-platform data is preferred.
LLMs or deep learning applied to personalization or content is preferred.
Familiarity with Looker is preferred.

Interested in this position?

Apply directly on the company website

Apply Now

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