Data Scientist II, Fraud & Risk

Posted 4 Days Ago
4 Locations
Hybrid
140K-170K Annually
Mid level
Artificial Intelligence • Machine Learning • Software • Analytics
Our mission is to verify 100% of good identities in real-time and completely eliminate identity fraud on the internet.
The Role
Develop and deploy deep learning models for fraud detection, risk management, and identity verification. Work across diverse data modalities, including tabular data, text, point clouds, and images, throughout the machine learning lifecycle. Responsibilities include data exploration, feature engineering, model training, evaluation, deployment, monitoring, and communicating results. Collaborate cross-functionally, make technical decisions independently, and apply emerging AI and machine learning techniques to production challenges.
Summary Generated by Built In
Why Socure?

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.

Role Overview

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.

Key Responsibilities
  • 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.

Qualifications
  • 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.

  • 2-4 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).

  • Foundational understanding of machine learning algorithms, model evaluation techniques, and data pipeline development.

  • Experience with model deployment and monitoring in production environments (specific experience with real-time model inferencing is a plus)

  • Experience with LLMs and Agentic AI framework/infrastructure (e.g., LangChain/LangGraph/Ray) is a plus.

  • 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.

Why Socure?
  • Join a mission-driven company at the forefront of identity verification and fraud prevention.

  • Work on impactful, challenging problems using cutting-edge technology.

  • Collaborate with talented colleagues in an inclusive, innovative culture.

  • Competitive compensation, equity, and benefits.

  • Opportunities for professional growth and skill development.

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

  • Bachelor's degree with substantial related experience, master's degree with relevant experience, or equivalent background in computer science, statistics, mathematics, engineering, or a related field.
  • 2-4 years of hands-on experience developing and deploying deep learning models, including transformers, CNNs, and LSTMs.
  • Experience working with diverse data modalities, including tabular data, text or language, point clouds, and images.
  • Proficiency in Python and major machine learning libraries or frameworks such as PyTorch, TensorFlow, and scikit-learn.
  • Foundational understanding of machine learning algorithms, model evaluation techniques, and data pipeline development.
  • Experience with model deployment and monitoring in production environments.
  • Experience with real-time model inferencing.
  • Experience with LLMs and agentic AI frameworks or infrastructure such as LangChain, LangGraph, or Ray.
  • Strong problem-solving skills and ability to work independently on straightforward tasks.
  • Ability to collaborate effectively in a diverse, cross-functional team environment.
  • Excellent written and verbal communication skills.
  • Experience in fraud prevention, risk modeling, or identity verification.
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The Company
HQ: Incline Village, Nevada
386 Employees
Year Founded: 2012

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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