We offer the industry’s only platform that fuses customer identity and anti-fraud solutions – customer identity management, identity verification, and fraud prevention.

We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc.

About the Role:

In this role, you will take an integral part in the creation of a new and innovative SaaS product.

If you are a talented Data Scientist that likes to solve complex problems and looking for your next challenge we want you to join our team!

What You'll Be Doing

• Create ML/DL flows to solve multi-stage problems, mainly in the Computer Vision domain, but not exclusively.
• Build the foundation of a new and exciting ML based product, including best practices, defining data pipeline requirements, metrics evaluation, data exploration and visualization.
• Take part in bringing SOTA algorithms to the production environment, to solve key pain points for customers.
  
  

What you’ll need:

• Master's degree in computer science or a related field.
• At least 5 years of experience in a data-scientist/algorithms-developer/software-engineer position/CV-engineer.
• Proficiency in Python.
• Knowledge of data science toolkits such as NumPy, Scikit-learn and OpenCV/PyTorch/TensorFlow.
• Familiarity with cloud-based infrastructure.
• Independent, persistent, and a "getting things done" person.
• Excellent interpersonal skills.
• Ability and drive to learn new things.
  
  

Advantages:

• Doctorate degree in Computer Science or a related field.
• Experience with Computer Vision algorithms.
• Experience in data mining and machine learning.
• Ability to store and process unstructured data with NoSQL databases.
• Experience with Vector DBs
• Experienced with identity management/risk assessment/fraud detection.