Data Scientist II, Fraud & Risk - Onsite NY, Equity

Socure; New York (NY); On-site; USD 140,000 - 170,000; Full time

Benefits offered by this job

Competitive compensation

Equity

Professional growth

Job summary

Socure is seeking a Data Scientist II to design, build, and deploy deep learning models for fraud detection, risk management, and identity verification with end-to-end ownership. The role emphasizes autonomy and collaboration across teams in New York, NY.

You will work with transformers, CNNs, and LSTMs across tabular data, text, point clouds, and images, and communicate findings to both technical and non-technical audiences. This on-site role offers growth in a mission-driven company.

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.

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.

Skills

Transformers

CNNs

LSTMs

Python

PyTorch

TensorFlow

scikit-learn

Data analysis

Education

Bachelor’s degree

Master’s degree

Tools

LangChain

LangGraph

Ray

Transformers

Job description

Socure is seeking a Data Scientist II to design, build, and deploy deep learning models for fraud detection, risk management, and identity verification with end-to-end ownership. The role emphasizes autonomy and collaboration across teams in New York, NY.

You will work with transformers, CNNs, and LSTMs across tabular data, text, point clouds, and images, and communicate findings to both technical and non-technical audiences. This on-site role offers growth in a mission-driven company.