Data Scientist II, Fraud & Deep Learning

At Socure, we’re on a mission—to verify 100% of good identities in real time and eliminate identity fraud from the internet.

Using predictive analytics and advanced machine learning trained on billions of signals to power RiskOS™, Socure has created the most accurate identity verification and fraud prevention platform in the world. Trusted by thousands of leading organizations—from top banks and fintechs to government agencies—we solve real, high-impact problems at scale. Come join us!

We are seeking a skilled and motivated Data Scientist II to join our Fraud & Risk Data Science team. As an individual contributor, you will have autonomy in your day-to-day work and play an important role in driving functional productivity and project success. You will work hands-on with advanced deep learning models, collaborating with colleagues to deliver impactful solutions for fraud detection, risk management, and identity verification. This position provides the opportunity to contribute to diverse projects and collaborate within a supportive, high-performing team.

• Design, develop, and implement advanced deep learning models, including transformers, CNNs, and LSTMs, 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.

• Take ownership of assigned tasks, executing technical and functional activities to support project goals with minimal supervision.

• Participate in all stages of the machine learning lifecycle: data exploration, feature engineering, model training, evaluation, and deployment.

• Collaborate effectively across teams, sharing knowledge and learning from diverse perspectives to drive results.

• Make routine technical decisions and contribute to functional objectives through productive and proactive engagement.

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

• Communicate results and insights clearly to both technical and non-technical audiences.
  

• 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.

• Typically brings several years of hands-on experience developing and deploying deep learning models (such as transformers, CNNs, and LSTMs).

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

• Proficiency in Python and major ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit-learn).

• Strong problem-solving skills, with the ability to work independently on straightforward tasks and contribute effectively to project objectives.

• Demonstrated ability to collaborate in a diverse, cross-functional team environment.

• Excellent written and verbal communication skills.
  

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

Please note: We cannot offer sponsorship now or in the future for this opening

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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