Lead Data Science Product Manager
Health Care Service Corporation
Data Scientist II, Fraud and Deep Learning
Socure
full-time
Posted on:
Location: 🇺🇸 United States
Visit company websiteSalary
💰 $130,000 - $160,000 per year
Job Level
Mid-LevelSenior
Tech Stack
PythonPyTorchTensorflow
About the role
- Lead, mentor, and grow a high-performing team of data scientists, fostering a collaborative and inclusive culture.
- Design, implement, and optimize advanced deep learning model architectures (transformers, CNNs, LSTMs) to solve fraud and risk challenges.
- Develop machine learning models using diverse data modalities (tabular, natural language, point clouds, images).
- Champion feature discovery, feature engineering, and data mining initiatives to extract valuable signals from complex datasets.
- Collaborate with cross-functional teams including product, engineering, and client-facing teams to deliver scalable AI solutions.
- Ensure best practices in ML model development, evaluation, deployment, and monitoring.
- Stay at the forefront of AI/ML and fraud/risk prevention technologies and incorporate emerging techniques.
- Represent Socure as a subject-matter expert in external and internal forums as needed.
Requirements
- Advanced degree (MS/PhD preferred) in Computer Science, Statistics, Mathematics, Engineering, or related field.
- Proven, hands-on experience developing, training, and deploying deep learning models (transformers, CNNs, LSTMs) in production.
- Demonstrated experience working with multiple data modalities, including 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).
- Excellent communication skills, with the ability to explain complex technical concepts to technical and non-technical stakeholders.
- Experience in fraud prevention, risk management, fintech, or identity verification (preferred).
- No visa sponsorship available now or in the future.
