Six Figure Work

Data Scientist II, Fraud & Risk

Socure

Company websitesocure.com (Socure, opens in new tab)

Base salary $140K  to $170K

Employer-published annual base salary, USD. Advertised base range in Hub, NY +3 more

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  • LocationHub, NY +3 more
  • WorkplaceHybrid
  • Status at last checkSource accepting applications when checked
  • Last checked (3 h ago) · observed since
All 4 locations
  • Hub - San Francisco
  • Hub - Miami
  • Hub - New York
  • Hub - Seattle

About this 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.


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Source: Socure on Ashby · View original posting (opens in new tab)

Pay in context

This role's base floor ($140,000) is above 13% of the 1,731 Data & ML roles in California listed on this site; 17 others list the same floor. Their median floor is $184,000; the middle half runs from $154,300 to $224,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.

This range next to 6 other live Socure roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Socure roles with the nearest advertised base floor
RolePublished base
Data Scientist II, Fraud & Risk (this listing)$140K - $170K
Legal Counsel, Identity & Trust Products$140K - $175K
Data Scientist ll - Digital Intelligence$140K - $170K
Software Engineer - II$140K - $160K
Data Scientist II - Big Data R&D, Identity Graph & Deceased Monitoring$140K - $170K
Data Scientist ll - RiskOS$140K - $170K
Senior Field & Event Marketing Manager$135K - $165K

Same $100K to $400K scale as every card. All Socure roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-09
Where this pay comes from

Location as the employer wrote it: DS2:

USD 140,000 – 170,000 · 1 YEAR · Salary · DS2:

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.

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