This individual contributor role sits in Socure’s Fraud & Risk Data Science team, where you will develop and deploy advanced deep learning solutions to support fraud detection, risk management, and identity verification. The position emphasizes autonomy, end-to-end ownership, and collaboration across teams.
Role Overview
As a Data Scientist II, you will design, build, and implement deep learning models for complex fraud and risk challenges. You will take assigned tasks through technical execution and functional alignment, supporting project goals with minimal supervision.
Responsibilities
- Design, develop, and implement advanced deep learning models, including transformers, CNNs, and LSTMs, for fraud and risk use cases.
- Build and optimize models using multiple input data types, including tabular data, natural language, point clouds, and images.
- Own assigned workstreams and execute technical and functional activities aligned to project goals with limited oversight.
- Contribute across the machine learning lifecycle, including data exploration, feature engineering, model training, evaluation, and deployment.
- Collaborate across teams by sharing knowledge and learning from different perspectives to drive results.
- Make routine technical decisions and support functional objectives through productive, proactive engagement.
- Stay current with AI and machine learning advancements and apply innovative approaches to real-world problems.
- Communicate findings and insights clearly to both technical and non-technical audiences.
Required Qualifications
- Bachelor’s degree with substantial related experience, Master’s degree with relevant experience, or equivalent work background in Computer Science, Statistics, Mathematics, Engineering, or a related field.
- 2–4 years of hands-on experience developing and deploying deep learning models (including transformers, CNNs, and LSTMs).
- Experience working with diverse data modalities, including tabular data, text/language, point clouds, and images.
- Proficiency in Python and major ML libraries/frameworks such as PyTorch, TensorFlow, and scikit-learn.
- Foundational understanding of machine learning algorithms, model evaluation methods, and data pipeline development.
- Experience deploying and monitoring models in production environments, with real-time model inferencing noted as a plus.
- Ability to solve problems independently on straightforward tasks and contribute effectively to project objectives.
- Demonstrated ability to collaborate in a diverse, cross-functional team environment.
- Strong written and verbal communication skills.
Preferred Qualifications
- Experience with LLMs and agentic AI frameworks/infrastructure (e.g., LangChain, LangGraph, Ray).
- Experience in fraud prevention, risk modeling, or identity verification.
Technologies
- Python
- PyTorch
- TensorFlow
- scikit-learn
- Transformers
- CNNs
- LSTMs
- LangChain
- LangGraph
- Ray
Compensation and Location
- Location: New York, NY (onsite)
- Salary: USD 140,000 - 170,000 per year
- Minimum Experience: 2 years
Benefits
- Competitive compensation, equity, and benefits.
- Opportunities for professional growth and skill development.
About Socure
Socure is a mission-driven company focused on identity verification and fraud prevention. The role involves building impactful, challenging solutions using cutting-edge technology within an inclusive and innovative culture.
Equal Opportunity Employer
Socure is an equal opportunity employer that values diversity in all its forms. The company does not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during the application or hiring process, including interview or onboarding support, contact your Socure recruiting partner.
