Staff Data Scientist - Fraud & Risk

CybSafe; California (MO); On-site; USD 180,000 - 240,000; Full time

Job summary

Socure is seeking a Staff Data Scientist to join our Fraud & Risk Data Science team, building and optimizing advanced DS/ML models powering our fraud detection and identity verification solutions.

You will lead technical initiatives, mentor peers, and drive end-to-end model development from data exploration to deployment in production environments.

This role emphasizes ownership, strong communication, and a commitment to continuous learning and high ethical standards.

Qualifications

• Master’s or PhD in CS, statistics, applied math, data science, or related field.
• 8+ years of data science experience, preferably in fintech or high-growth tech.
• Experience in fraud prevention, risk modeling, or identity verification.
• Hands-on with deep learning models (transformers, CNNs/RNNs, graph learning).
• Proficient in Python, SQL, and major ML libraries/frameworks (PyTorch, TensorFlow, scikit-learn).
• Experience deploying ML models in production with real-time inference a plus.
• Familiar with LangChain/LangGraph/Ray a plus.
• Strong communication and mentoring abilities.

Responsibilities

• Design, develop, and implement deep learning models (transformers, CNNs/RNNs, graph learning).
• Work with diverse data types: tabular, text, images, point clouds.
• Lead end-to-end ML lifecycle: data exploration to deployment and monitoring.
• Mentor teammates and drive cross-functional initiatives.
• Present findings to technical and executive stakeholders.
• Stay current with AI advancements and apply them to fraud/risk problems.

Skills

Python

SQL

Deep Learning

ML Deployment

Model Evaluation

Communication

Education

Master's or PhD in CS/Statistics/Data Science

Tools

PyTorch

TensorFlow

scikit-learn

LangChain

Ray

Job description

Why Socure?

Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.

We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won't be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading.

About the Role

We are seeking a skilled and motivated Staff Data Scientist to join our Fraud & Risk Data Science team. As an advanced-level individual contributor, you will design, build, and optimize advanced DS/ML models that power our core fraud detection and risk management solutions. You will lead technical initiatives, mentor peers, and drive functional productivity and project success. You will work hands‑on with advanced deep learning models, driving delivery of impactful solutions for fraud detection, risk management, and identity verification. This role requires deep technical expertise, strategic ownership, and a commitment to Socure’s leadership principles, including continuous learning, effective communication, and accountability.

What You'll Do

• Design, develop, and implement advanced deep learning models, including transformers, CNNs/RNNs, and graph learning algorithms, to address complex fraud and risk challenges.

• Build and optimize models using a variety of input data types, including tabular data, natural language, point clouds, and images.

• Lead the end‑to‑end machine learning lifecycle: data exploration, feature engineering, model training, evaluation, deployment, and monitoring in production environments.

• Take ownership of project outcomes, data quality, and delivery timelines; proactively elevate issues and work collaboratively to resolve challenges.

• Mentor and share knowledge with peers and junior data scientists, fostering a culture of experimentation, rapid iteration, and continuous learning.

• Collaborate cross‑functionally with Product, Engineering, and Risk teams to define data requirements and drive insights that guide strategic decisions.

• Conduct in‑depth research to explore new data sources and develop novel algorithms that advance the state of the art in fraud detection.

• Present findings and recommendations to technical and executive stakeholders with clarity and influence.

• Stay current with advancements in AI and machine learning, applying innovative approaches to real‑world problems.

• Model Socure’s embedded leadership competencies: continuous learning, effective communication, accountability, team development, decision making, and managing change.

What You Bring

• Master’s or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, or a related field; or equivalent professional experience.

• 8+ years of experience in data science, machine learning, or related fields, ideally in a high‑growth tech or fintech environment.

• Experience in fraud prevention, risk modeling, or identity verification.

• Years of hands‑on experience developing and deploying deep learning models (such as transformers, CNNs/RNNs, and graph learning).

• Experience working with diverse data modalities, such as tabular data, text/language, point clouds, and images.

• Strong proficiency in Python, SQL, and major ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit‑learn)

• Deep understanding of machine learning algorithms, model evaluation techniques, and data pipeline development.

• Experience with model deployment and monitoring in production environments (specific experience with real‑time model inferencing is a plus)

• Experience with LLMs and Agentic AI framework/infrastructure (e.g., LangChain/LangGraph/Ray) is a plus.

• Demonstrated ability to proactively deliver complex outcomes, mentor others, and influence cross‑functional decisions.

• Excellent communication skills with the ability to translate complex data problems into actionable business insights for both technical and non‑technical audiences.

• Commitment to continuous learning, professional integrity, and high standards of business ethics.

Please note: we are unable to provide sponsorship now, or in the future.

Socure is an equal opportunity employer that values diversity in all its forms within our company. We do 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 any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly.

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