About this role
This position is for a Staff Data Scientist - Fraud & Risk at Socure based in New York or available remotely. The role suits an experienced machine learning professional with a background in fintech who wants to build advanced predictive models for identity verification.
Role Overview
Socure is seeking an advanced-level individual contributor to design, build, and optimize machine learning models that power core fraud detection and risk management solutions. In this position, the professional will lead technical initiatives, mentor peers, and drive project success. The work involves hands-on development of deep learning models to address complex challenges in digital identity trust and risk decisioning.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Socure builds identity trust infrastructure for the digital economy, verifying identities in real time and stopping fraud before it begins. The organization solves complex problems that impact millions of people, governments, and businesses daily, hiring individuals who think critically and act like owners.
How to Apply
Interested candidates should apply directly on the official company careers page.
Skills and tech stack
Questions candidates ask
What is the salary range for the Staff Data Scientist position?
The annual salary ranges from $191,000 to $230,000 USD per year.
Is this a remote position?
Yes, this role is listed with a location hub in New York and offers remote work options.
What level of experience is required for this role?
Candidates must have 8+ years of experience in data science, machine learning, or related fields, ideally in a fintech or high-growth tech environment.
What technical skills are required?
Required technical proficiencies include Python, SQL, and major machine learning libraries such as PyTorch, TensorFlow, and scikit-learn, alongside deep learning expertise.
How should I apply for this job?
You can apply directly on the official company careers page.
