Data Scientist II (Fraud & Risk)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Scientist II (Fraud & Risk): Designing and implementing advanced deep learning models to detect fraud and manage risk within the identity trust infrastructure with an accent on transformers, CNNs, and LSTMs. Focus on processing diverse data modalities and deploying real-time model inferencing to stop fraud.
Location: Remote (US). Unable to provide sponsorship now or in the future.
Salary: $140K – $210K
Company
is building the identity trust infrastructure for the digital economy to verify identities in real time and stop fraud.
What you will do
- Design and implement advanced deep learning models including transformers, CNNs, and LSTMs for fraud and risk challenges.
- Optimize models using diverse input data including tabular data, natural language, point clouds, and images.
- Manage the full ML lifecycle: from data exploration and feature engineering to training, evaluation, and deployment.
- Collaborate across teams to deliver impactful solutions for identity verification and risk management.
- Stay current with AI advancements and apply innovative approaches to real-world fraud problems.
- Communicate technical results and insights clearly to both technical and non-technical audiences.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.
- 2-4 years of hands-on experience developing and deploying deep learning models.
- Proficiency in Python and major ML libraries such as PyTorch, TensorFlow, and scikit-learn.
- Experience working with multiple data modalities (tabular, text, point clouds, images).
- Foundational understanding of ML algorithms, model evaluation, and data pipeline development.
- Must be authorized to work in the US without sponsorship.
Nice to have
- Experience with LLMs and Agentic AI frameworks (e.g., LangChain, LangGraph, Ray).
- Experience in fraud prevention, risk modeling, or identity verification.
- Experience with real-time model inferencing in production environments.
Culture & Benefits
- High-responsibility environment for those who move fast, think critically, and act like owners.
- Collaborative, high-performing team culture with a high bar for excellence.
- Compensation includes equity and bonus opportunities.
- Opportunity to solve complex, high-impact problems affecting millions of people.
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