Data Scientist for Performance Marketing
3 weeks ago
Launch Potato is a digital media company with a portfolio of brands and technologies. As The Discovery and Conversion Company, we are a leading connector of advertisers to customers at all parts of the consumer journey, from awareness to consideration to purchase. Our unique international team across over a dozen countries drives our diverse, energetic culture and high-performing, entrepreneurial spirit.
Salary
$110,000 to $160,000 per year, paid bi-monthly, based on Launch Potato's Levels Framework, making it competitive for the nearest major metro area.
Job Description
This role focuses heavily on building machine learning models, leveraging Multi-Armed Bandit solutions, recommendation systems, and Large Language Models in content personalization. You will develop deep personalization models for our users and complex optimization algorithms to bridge customer experiences with new products/services, impacting hundreds of thousands of customers daily and driving significant consumer impact while increasing revenue.
Required Skills and Qualifications
We seek a seasoned data scientist with at least 4 years of experience in a hands-on, in-the-weeds data science position, including professional experience designing and implementing Multi-Armed Bandit (MAB) solutions and recommendation systems. Your background in Machine Learning and Statistics is solid, and you have proficiency in SQL and Python, as well as working with data science tools. Experience managing a team of data scientists and machine learning researchers, creating ML solutions within cloud services, and developing deep learning models directly impacting revenue and/or margin, is a plus.
Benefits
Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. As a performance-driven company, future increases will be based on company and personal performance, not annual cost of living adjustments. We value diversity, equity, and inclusion, committed to having a diverse, inclusive team and culture since day one.
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