Data Scientist II, Fraud & Risk
Socure
Listing collected from Socure's career site. NextChapter is independent of Socure.
San Francisco, CA · $140k–$170k a year · Posted October 9, 2026
Just laid off? Start here: a plan for the first weeks
More in California job market · Financial Services & Banking · Data & Analytics jobs
More roles at Socure
- Head of Data Science, Compliance Products · San Francisco, CA
- Senior Manager, Financial Analysis
- Staff Data Scientist, DocV · San Francisco, CA
- Senior Field & Event Marketing Manager
- Data Scientist ll - Digital Intelligence · San Francisco, CA
- Lifecycle Marketing Manager · San Francisco, CA
Similar jobs
- Lead Data Analyst · Childrens Institute · Los Angeles, CA
- Senior Staff Data Scientist · Intuit · Mountain View, CA
- Principal Data Scientist - Knowledge Engineering, Customer Success Data Platform · Intuit · Mountain View, CA
- Data Scientist 5 · LAM Research · Fremont, CA
- Principal Data Scientist - Remote · Unitedhealth Group · San Diego, CA
- Senior Data Scientist, ML— Fraud Prevention · Adobe · San Jose, CA
Where San Francisco, CA ranks
Where San Francisco, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for security jobs316 openings · of 20
- #1Best cities for technology jobs7,178 openings · of 100
- #1Best cities for financial services pay after cost of living$173k · of 33
- #1Best cities for entry-level jobs that want AI skills35% · of 100
- #1Best cities for entry-level jobs that want AI skills in the West Coast35% · of 54
- #1Cities with the most jobs that do not need a four-year degree in the West Coast902 jobs · of 47
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
How AI is used in this kind of work
Among data scientists, AI is already used for a large share of the tasks. Measured exposure for data scientists: 46% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
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.
Follow Us!
YouTube https://www.youtube.com/c/Socure | LinkedIn https://www.linkedin.com/company/socure/ | X (Twitter) https://x.com/socureme | Facebook https://www.facebook.com/socure/