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 Senior Data Scientist, Client Analysis, you’ll play a critical role in driving Socure’s growth by partnering closely with our go-to-market (GTM) teams to demonstrate the impact of our solutions. You’ll analyze massive datasets, develop compelling data stories, and build tools that help potential and existing customers understand the full value of our identity verification and fraud prevention platform.
This is a high-visibility, high-impact role ideal for a data scientist who thrives at the intersection of data and business. You’ll bring technical excellence, storytelling ability, and a customer-centric mindset to influence key decisions and directly contribute to revenue generation. Data Scientists on the Client Analysis team are rewarded with a generous incentive bonus in addition to a competitive base salary.

WHAT YOU’LL DO

• Analyze customer datasets to generate actionable insights that inform optimal risk management policies.
• Clearly articulate model performance and outcomes to both technical and non-technical stakeholders.
• Act as a data science advocate by deeply understanding Socure’s solutions and aligning them with customer needs.
• Craft compelling data narratives that demonstrate Socure’s ability to reduce identity fraud and enhance customer experience.
• Represent the customer’s voice in the development of next-generation models and products.
• Develop tools and automated workflows that increase the speed, accuracy, and reproducibility of client-facing analyses.
• Collaborate cross-functionally with Sales, Solution Consultants, Account Managers, and Technical Program Managers to identify new analysis opportunities and support upsell efforts.
• Build machine learning models when exploring alternative approaches adds value beyond existing production models.