Role overview
Why Socure?
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!
About The Role
As a Data Scientist at Socure, you will play a crucial role in building next-generation fraud and risk products that leverage cutting-edge machine learning algorithms and large-scale data processing. Working with cross-functional teams, you’ll analyze complex, high-volume datasets to develop and deploy models that drive business value and innovation. Your work will directly impact our mission to eliminate identity fraud and advance digital trust across sectors
What you'll work on
- Design, develop, and implement machine learning models and statistical algorithms to support the development of fraud detection and identity verification solutions, leveraging large-scale and diverse data sources.
- Analyze large datasets and uncover actionable insights, fraud patterns, and new opportunities for product and service enhancements across Socure’s platform.
- Collaborate with product, engineering, and cross-functional teams to translate business requirements into data-driven solutions that align with company goals.
- Develop and code data processing pipelines, automated workflows, and tools to cleanse, integrate, and evaluate data from multiple sources.
- Provide analytical support to the fraud and risk data science team; present findings and communicate data-driven insights with clear storytelling tailored to technical and non-technical audiences.
- Continuously test and apply the latest machine learning algorithms, libraries, and techniques to improve model performance and adaptability.
- Build, maintain, and monitor robust, scalable models deployed into production environments; participate actively in code reviews and peer discussions.
- Contribute to a collaborative, high-performance team environment; seek out and communicate trends, patterns, or anomalies that inform Socure’s broader product strategies.