Machine Learning Engineer, Found

• 6+ years in Data Science or Machine Learning
• Expertise with Python/R and SQL
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
• Proven track record of developing and deploying successful machine learning models in a production environment

Desirable

• We’re excited to bring on another member to our team to enhance our Data Science and ML capabilities
• You’ll start by partnering with our risk team to develop models to better identify risky activity, underwrite users for things like higher account limits or access to check deposits, and improve our understanding of user quality through identifying signals of ‘real’ vs fraudulent businesses
• We’re looking for someone who’s curious, proactive, and who is excited to dive in and immediately play a critical role impacting company-level strategic priorities
• Design, develop, and deploy machine learning models to identify fraudulent activity, unlock things like higher limits for good users, and decision on transactions
• Collaborate with cross-functional teams, including product and engineering, to identify new opportunities to solve business problems through data science & ML
• Communicate complex machine learning concepts and results to both technical and non-technical stakeholders
• Research novel techniques and best practices to parse large, diverse data sets
• Contribute to the development of best practices, standards, and frameworks for machine learning at Found
• Provide mentorship and guidance to help grow and develop the skills of the broader data team, fostering a culture of continuous learning and excellence