Data Scientist • Staff

Who you are

You are a seasoned data scientist with extensive experience in designing and implementing advanced deep learning models. Your expertise includes working with transformers, CNNs/RNNs, and graph learning algorithms, which you have applied to solve complex fraud and risk challenges. You thrive in environments that demand critical thinking and ownership, and you are passionate about using data to drive impactful solutions.

You have a strong background in machine learning and data science, with proficiency in programming languages such as Python and SQL. Your ability to communicate complex technical concepts clearly makes you an effective collaborator, and you enjoy mentoring peers to foster a culture of continuous learning and improvement.

What you'll do

In this role, you will lead technical initiatives within the Fraud & Risk Data Science team, focusing on the design, development, and optimization of advanced machine learning models. You will work hands-on with deep learning technologies to enhance Socure's fraud detection and risk management solutions. Your responsibilities will include driving functional productivity, ensuring project success, and mentoring team members to elevate their skills and contributions.

You will collaborate closely with cross-functional teams to understand business needs and translate them into technical requirements. Your work will directly impact the effectiveness of identity verification processes, helping to stop fraud before it starts. You will also be expected to stay updated on the latest advancements in data science and machine learning, applying new techniques to improve existing models and processes.

What we offer

At Socure, you will be part of a mission-driven team that is dedicated to building the future of identity trust infrastructure. We offer a dynamic work environment where you can take ownership of your projects and make a real difference. Our culture emphasizes collaboration, innovation, and accountability, and we encourage you to apply even if your experience doesn't match every requirement. Join us in our mission to create a safer digital economy.