Data Scientist (Fraud & Risk)

Socure; United States; Remote; USD 110,000 - 165,000; Full time

Benefits offered by this job

Health insurance

Parental Leave

401k

Life Insurance

PTO

100% Remote

WFH Allowance

Deskpass

Mental Health Provider

Learning & Development

Employee Assistance Program - EAP

Fertility Provider

Personal Legal Support

Job summary

Socure is seeking a Data Scientist II to join the Fraud & Risk Data Science team. You will design, develop, and deploy advanced deep learning models (transformers, CNNs, LSTMs) for fraud detection and identity verification.

You will work hands-on with tabular data, text, images, and other modalities, taking ownership of tasks and delivering impactful solutions. You will engage in the full ML lifecycle, collaborate across teams, and stay current with AI innovations while communicating results

Qualifications

• Bachelor's degree with substantial related experience or higher.
• 2-4 years of hands-on experience developing and deploying deep learning models (e.g., transformers, CNNs, LSTMs).
• Proficiency in Python and major ML libraries (PyTorch, TensorFlow, scikit-learn).
• Experience with model deployment and monitoring in production environments.
• Experience in fraud prevention, risk modeling, or identity verification is a plus.
• Excellent written and verbal communication skills.

Responsibilities

• Design, develop, and implement advanced deep learning models (transformers, CNNs, LSTMs) for fraud and risk.
• Work with diverse data modalities: tabular, text, point clouds, and images.
• Participate in full ML lifecycle: data exploration, feature engineering, training, evaluation, deployment.
• Collaborate across teams and communicate results to technical and non-technical audiences.
• Stay current with AI advancements and apply innovative approaches to real-world problems.

Skills

Python programming

Communication skills

Problem solving

Independent work

ML lifecycle

Diversity of data modalities

Education

Bachelor's degree in CS/Math/Stats/Engineering

Master's degree with relevant experience

Tools

PyTorch

TensorFlow

scikit-learn

LangChain

LangGraph

Ray

Job description

• 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


• 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

Benefits

• Health: Comprehensive medical coverage, including vision, dental, and FSA


• Parental Leave: Generous leave allowance for
  parents-to-be


• 401k: Pre-tax savings for retirement


• Life Insurance: Protect your family in
  case of emergency


• PTO: Take as much time as you need,
  when you need it


• 100% Remote: Work from anywhere anytime, whatever suits your lifestyle


• WFH Allowance: Generous reimbursement program to maximize your WFH setup


• Deskpass: Work in an office environment whenever you feel the need


• Mental Health Provider: Connect with clinicians when you need it


• Learning & Development: Self-education allowance & free career coaching


• Employee Assistance Program \"EAP\": Lifestyle resources available as well as additional mental health resources


• Fertility Provider: Family planning solutions for those interested


• Personal Legal Support: Significant discounts with RocketLawyer

• Demonstrated ability to collaborate in a diverse, cross-functional team environment


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


• 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


• Excellent written and verbal communication skills


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


• Proficiency in Python and major ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit-learn)


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


• Experience in fraud prevention, risk modeling, or identity verification is a plus


• Strong problem-solving skills, with the ability to work independently on straightforward tasks and contribute effectively to project objectives


• 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