Job Description:
• Lead, mentor, and grow a high-performing team of data scientists, fostering a collaborative and inclusive culture.
• Coach teams to design, implement, and optimize advanced deep learning model architecture, such as transformers, CNNs, and LSTMs, to solve real-world fraud and risk challenges.
• Drive the development of machine learning models using a wide range of data types and input modalities, such as tabular data, natural language, point clouds, and images.
• Champion feature discovery, feature engineering, and data mining initiatives to extract valuable signals from complex and high-dimensional datasets.
• Collaborate with cross-functional teams including product, engineering, and client-facing teams to deliver robust, scalable AI solutions.
• Ensure best practices in ML model development, evaluation, deployment, and monitoring.
• Stay at the forefront of advancements in AI, machine learning, and fraud/risk prevention technologies, incorporating emerging techniques into our solutions.
• Represent Socure as a subject-matter expert in external and internal forums as needed.
Requirements:
• Experience in the fraud prevention, risk management, fintech, or identity verification space.
• Advanced degree (MS/PhD preferred) in Computer Science, Statistics, Mathematics, Engineering, or related field.
• Previous hands-on experience developing, training, and deploying deep learning models, such as transformers, CNNs, and LSTMs, in a production environment.
• Demonstrated experience working with multiple data modalities, including (but not limited to) tabular data, language/text, point clouds, and images.
• Strong track record of managing, mentoring, and developing diverse teams of data scientists.
• Deep understanding of machine learning best practices, data preparation, model evaluation, and deployment pipelines.
• Expertise in feature discovery, feature engineering, and data mining techniques.
• Proficiency in Python and modern ML frameworks (e.g., TensorFlow, PyTorch).
Benefits:
• Offers Equity
• Offers Bonus
Apply Now
Apply Now