Senior Data Scientist

Summary

Join Launch Potato, a dynamic digital media company, as a Data Scientist to build and deploy machine learning solutions. You will play a critical role in enhancing customer personalization, optimizing monetization, and improving lead quality. This position requires at least 4 years of hands-on data science experience, expertise in MAB solutions and recommendation systems, and proficiency in Python and SQL. You will collaborate with cross-functional teams and mentor junior data scientists. Launch Potato offers a competitive compensation package including base salary, profit-sharing bonus, and benefits.

Requirements

• A minimum of 4 years of hands-on experience in data science and machine learning
• 2+ years of experience in the performance marketing or lead generation industry
• Expertise in designing, implementing, optimizing, and testing Multi-Armed Bandit (MAB) solutions and recommendation systems
• Proficiency in Python, SQL, and experience with Data Science tools like Git, Docker, and Kubernetes
• Minimum 4 years experience in a hands-on, in-the-weeds data science position
• A deep understanding of monetization methodologies within performance marketing and the ability to translate them into data science applications
• Experience building and productionizing MAB solutions, recommendation systems (content-based, collaborative filtering, hybrid), and deep learning models
• Expert-level Python and SQL skills, along with hands-on experience in cloud services like AWS or GCP and familiarity with the ML lifecycle
• Proven track record of leveraging ML models to drive company-level performance metrics
• A passion for learning and staying updated with the latest ML/AI trends, technologies, and applications
• Ability to independently own projects, structure complex challenges, and collaborate effectively across teams

Responsibilities

• Build scalable ML solutions that contribute to measurable improvements in company performance metrics within the first 12 months
• Actively partner with Product, Engineering, Business Intelligence, and other teams to integrate ML models into initiatives across verticals, such as Credit Cards, Insurance, and Prizes & Games
• Identify and prioritize high-impact ML opportunities within the first three months, leading their design, implementation, and deployment by month six
• Serve as a thought leader by mentoring junior data scientists and contributing to the growth of Launch Potato’s data science team
• Create containerized ML models using Docker/Kubernetes that ensure efficiency, scalability, and ease of deployment

Preferred Qualifications

• Experience utilizing LLMs and deep learning techniques for personalization and business solutions
• Proficiency in data visualization tools like Looker
• A track record of contributing to the growth and roadmap of a data science team
• Experience training, mentoring, or managing junior data scientists and machine learning engineers

Benefits

• Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework
• Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits