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 Data Scientist, Marketing

3 weeks, 3 days ago

Chile

Full-time

Senior

Data Scientist

Data Science and Analytics

AWS Deep Learning Digital Marketing 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 through deployed model performance monitoring.
Work directly with stakeholders to define the business problem and success metrics.
Build, validate, and document machine learning models for the Insurance vertical and advertiser quality initiatives.
Partner with ML engineering on the final deployment stage and stay engaged after launch.
Improve lead quality across brands and content formats such as Messaging, Funnels, and Content/Listicles.
Monitor live ROAS performance and optimize models to maintain positive returns and quality.
Identify new modeling opportunities that are not already flagged by the business.
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 with the ability to build effective models that drive business impact.
Expert-level Python and SQL skills.
Hands-on experience with multi-armed bandit / reinforcement learning, recommendation and ranking systems, funnel and monetization optimization, and LTV modeling.
Experience building adtech algorithms and supporting user acquisition or paid media modeling is highly desired.
Experience with sophisticated ML in companies where paid digital media is core to the business model is a plus.
Creative embeddings experience involving creatives, videos, headlines, or search is a plus.
Insurance domain experience is a plus.
Experience creating state-of-the-art ad ranking algorithms is a plus.
Experience modeling against ad-platform data from Google, Meta, or native channels is a plus.
LLMs or deep learning applied to personalization or content is a plus.
Familiarity with Looker is a plus.

Benefits

Remote-first team spanning over 15 countries.
Opportunity to work at a profitable, high-growth company with measurable impact.
Career growth in a high-performance culture that values ownership and speed.
Equal Employment Opportunity workplace committed to diversity, equity, and inclusion.

Interested in this position?

Apply directly on the company website

Apply Now

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