Data Scientist

  • Kiryat Shmona, Alta Galiléia, Israel
  • Pesquisa e Engenharia
  • Full-time

Our rapidly expanding platform for plagiarism detection and content authentication needs an experienced data scientist. We are looking for someone who will take our AI algorithms to the next level and add deeper string processing capabilities to our platform.

Requirements

  • BS.c / BA in Computer science or Software Engineering.
  • Relevant Master’s degree – Advantage.
  • Professional experience with Machine-Learning.
  • Professional experience with Deep-Learning.
  • Professional experience in research and development of strings processing algorithms.
  • Familiarity with NLP.
  • 3+ years of professional experience with Python.
  • Familiarity with Linux.
  • Preferred: Experience working with cloud platforms, specifically Google Cloud Platform.
  • You’re ready to work hard while doing great things.

Responsibilities

  • Implementing complex automated tests.
  • Works with other departments to participate in specification, design, code, and test reviews.
  • Evaluate problems to develop solutions relating to computer software.
  • Improves existing programs by analyzing and identifying areas for alteration.
  • Contributes to project planning and project management.
  • Interacts with all internal and external sources necessary to successfully complete assignments.
  • Create and present findings, solutions, and demos.
  • Performs other duties as assigned.

Competencies

  • Analysis
  • Assessment/evaluation
  • Attention to detail
  • Communication – written and oral skills
  • Consult with and receive feedback constructively from co-workers on projects
  • Creativity
  • Organização
  • Knowledge of relevant policies and procedures
  • Problem identification and resolution
  • Computer network and computer systems
  • Works independently as well as part of a team
  • Must be a fast learner

Copyleaks is proud to be an equal-opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity, or Veteran status.

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