Data Scientist - Machine Learning

Launch Potato, a dynamic digital media company headquartered in Delray Beach, Florida, is seeking a Senior Data Scientist to spearhead their machine learning initiatives. This role presents an exciting opportunity to join a diverse, international team spread across over a dozen countries, focusing on connecting advertisers with customers throughout their journey.

The position requires a seasoned professional with at least 4 years of hands-on experience in data science and machine learning, particularly in the performance marketing sector. You'll be responsible for developing and implementing sophisticated machine learning solutions, including Multi-Armed Bandit systems and recommendation engines, that directly impact business outcomes.

As a key member of the team, you'll collaborate across departments to integrate ML models into various verticals such as Credit Cards, Insurance, and Prizes & Games. The role demands strong technical expertise in Python, SQL, and modern data science tools, combined with the ability to containerize solutions using Docker and Kubernetes.

What makes this role particularly attractive is the opportunity to drive innovation while having a measurable impact on company performance. You'll serve as a thought leader, mentoring junior data scientists and contributing to the growth of Launch Potato's data science capabilities. The company offers a competitive compensation package, including a base salary range of $110,000-$160,000, profit-sharing bonuses, and comprehensive benefits.

Launch Potato's commitment to diversity and inclusion, combined with their performance-driven culture, creates an environment where innovative thinkers can thrive. This role is perfect for someone who wants to make a significant impact in a profitable, high-growth company while working with cutting-edge ML/AI technologies and applications.

The company's unique culture and high-performing, entrepreneurial team provide an excellent platform for professional growth. You'll have the opportunity to work on challenging problems, implement state-of-the-art solutions, and see the direct results of your work in improving customer experiences and business outcomes.