Duality-Data Scientist

  • Duality
  • Tel Aviv, Israel
  • Full-time
About The Position

Founded by world-renowned cryptographers and data science executives, Duality Technologies addresses the rapidly growing need of enterprises across regulated industries to collaborate on sensitive data. Duality’s award-winning SecurePlus™ platform enables secure analysis and AI on encrypted data, deriving insights from sensitive data without exposing the data itself. The groundbreaking technology also protects valuable analytics models from exposure to external collaboration parties during computations.

Duality Technologies is hiring a full-time data scientist. The candidate will report to our Head of Data Science. Typical responsibilities include designing efficient data science/ML/AI/statistical algorithms that leverage mainly our homomorphic encryption or any other private preserving technology.

The successful candidate will develop prototypes of his/her designs, and will work with our engineering team to integrate solutions into a production privacy preserving analytics product. The candidate is expected to work closely with our crypto and software engineer teams.

We are interested in candidates at all levels from fresh graduates to experienced researchers, scientists or engineers. 

The position is not necessarily customer facing, but we would welcome candidates with experience and interest in working directly with our customers.

Requirements:
  • MSc in computer Science, Mathematics, Physics or related field
  • Experience in prototyping data science technologies
  • Ability and willingness to work on a team
  • Good communication skills. Fluent in English

Desired Skills

  • Familiarity with privacy preserving technologies such as Homomorphic Encryption, secure multiparty computation or differential privacy
  • Experience in function approximation theory
  • Experience in Python programming or any other Object Oriented language
  • PhD in computer Science, Mathematics or related field
  • Experience integrating or developing high-assurance production environments

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