Sr. Data Scientist Manager


Remote
Permanent
USD175000 - USD240000
Data and Analytics
PR/560894_1757946079
Sr. Data Scientist Manager

Senior Manager, Data Science - Fraud Modeling

Our client is currently searching for a Senior Manager of Data Science to lead its fraud modeling team. This role is ideal for a hands-on technical leader who thrives in high-impact environments and has deep expertise in deep learning, model deployment, and cross-functional collaboration.

About the Role

You'll lead a team of data scientists focused on building and optimizing fraud detection models using advanced deep learning techniques. The team is responsible for developing proprietary models from scratch, fine-tuning client models, and deploying solutions into production environments. The ideal candidate will be a "mechanic" - someone who understands the inner workings of ML systems and can guide others through complex technical challenges.

Key Responsibilities

  • Lead and mentor a team of 10+ data scientists, with plans to grow to 12.
  • Oversee development of deep learning models using architectures like transformers, CNNs, and LSTMs.
  • Guide model deployment and MLOps workflows, including testing and production rollout.
  • Conduct code reviews and provide technical troubleshooting support.
  • Work with diverse data types including tabular data, text, images, and point clouds.
  • Collaborate with product managers, ML engineers, and client analytics teams to ensure models deliver business value.
  • Present technical concepts and model performance across business units.

What You'll Bring

  • Proven experience developing and deploying deep learning models in production.
  • Hands-on expertise with multiple data modalities.
  • Strong understanding of feature engineering, model evaluation, and deployment pipelines.
  • Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow).
  • Experience leading data science teams and staying close to technical execution.
  • Excellent communication skills and ability to influence cross-functional stakeholders.
  • Prior experience in fraud detection, risk modeling, or identity verification is a strong plus.

Compensation & Equity

  • Base salary range: $175K-$240K (location-adjusted)
  • 15% annual bonus target
  • Equity package with significant upside potential

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