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.
Summary
We are seeking a highly technical Senior Data Scientist to drive machine learning innovation for Socure's Document Verification (DocV) platform. This role combines model development, product analytics, model evaluation, and ML tooling to improve fraud detection, customer experience, and operational efficiency. You will partner closely with Product, Engineering, Fraud Operations, and Data Science to build production ML models, generate actionable insights, and develop scalable evaluation and automation frameworks.
ResponsibilitiesMachine Learning & Model DevelopmentDesign, develop, and improve ML models for document verification, fraud detection, image quality assessment, biometric verification, and related use cases.
Research new features, modeling approaches, and fraud detection techniques to improve production performance.
Partner with Engineering to deploy, monitor, and continuously improve production models.
Analyze product performance, fraud trends, customer behavior, and emerging attack vectors.
Design and execute model evaluations using offline and production datasets, measuring precision, recall, FAR/FRR, and business impact.
Develop dashboards and KPIs to monitor model health, product performance, and operational metrics.
Build tools and automation for model evaluation, performance monitoring, labeling workflows, and fraud investigations.
Develop self-service analytics and experimentation frameworks.
Improve analytics infrastructure supporting model development and monitoring.
Partner with Product, Engineering, Fraud Operations, and Solutions Engineering to translate business needs into data-driven solutions.
Communicate technical findings and influence product and modeling decisions.
MS/PhD (or equivalent experience) in Computer Science, Statistics, Data Science, or a related field.
5+ years of experience in machine learning, data science, fraud analytics, or product analytics.
Strong experience developing and evaluating production ML models.
Expert SQL and Python skills.
Experience with Databricks, Spark, AWS Sagemaker, or similar platforms.
Strong understanding of experimentation, statistical analysis, and ML evaluation.
Experience with computer vision, deep learning, or transformer-based models.
Experience designing and analyzing A/B tests, online experiments, and statistical evaluations of product or machine learning performance.
Experience defining product KPIs and building dashboards to monitor product performance, customer behavior, and operational metrics.
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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Skills Required
- MS/PhD or equivalent experience in Computer Science, Statistics, Data Science, or related field.
- 5+ years experience in machine learning, data science, fraud analytics, or product analytics.
- Strong experience developing and evaluating production ML models.
- Expert SQL skills.
- Expert Python skills.
- Experience with Databricks, Spark, AWS Sagemaker, or similar platforms.
- Strong understanding of experimentation, statistical analysis, and ML evaluation.
- Experience with computer vision, deep learning, or transformer-based models.
- Experience designing and analyzing A/B tests and online experiments.
- Experience defining product KPIs and building dashboards to monitor product and operational metrics.
What We Do
Socure is the leading platform for digital identity trust. Its predictive analytics platform applies artificial intelligence and machine learning techniques with trusted online/offline data intelligence from email, phone, address, IP, device, velocity, and the broader internet to verify identities in real time. The company has more than 750 customers across the financial services, gaming, telecom, and e-commerce industries, including three of the top five banks, seven of the top 10 card issuers, three of the top MSBs, the top payroll provider, the top credit bureau, and over 100 of the largest and most successful FinTechs. Marquee customers include Chime, Varo Money, Public, Stash, and DraftKings. Socure has received numerous industry awards and accolades, including being named to Forbes America’s Best Startup Employers 2021, being awarded Best New Technology Introduced over the Last 12 Months – Data and Data Services at the 2020 American Financial Technology Awards (AFTAs), being ranked number 70 in Deloitte’s Technology Fast 500™, being listed as a Gartner Cool Vendor, being recognized by Forbes as one of the Top 25 Machine Learning Startups to Watch, being named to CB Insights: The FinTech 250, and being awarded Finovate’s Award for Best Use of AI/ML, to name a few.
Why Work With Us
Socure is a critical part of the infrastructure of the digital economy and what we do is critical to ensure the safety of anyone doing any sort of business on the internet. Because of our technology digital identity theft will be eradicated and more people will be included in the digital economy than ever before.
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