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Title:  Senior Data-Scientist

Location: 

Tel Aviv, IL, 67442

Requisition ID:  32438
Job Summary

 

Are you a talented data scientist with industry experience? Are you thrilled by the opportunity to engineer robust solutions that eat real world constraints for breakfast? NetApp’s growing data science team is looking for you! 
NetApp is a cloud provider and a data management company. NetApp leads in data analysis and usage patterns monitoring and is one of the world leaders in machine learning based NLP and analysis of advanced topics in data.
NetApp’s R&D center in Tel-Aviv is now recruiting a senior data-scientist for multiple projects: You will join a small and growing team of data scientists responsible for the entire cycle of machine learning solutions.
Our solutions analyze huge amounts of texts in many different languages, comprehend the essence and context and provide information to the enterprise regarding sensitive information assets found in the data. We identify the most secret and secure information in the pile of millions of textual fragments, regardless of language, culture and domain.

Job Requirements

You will research, develop and deploy machine learning pipelines that empower organizations to map and protect their most sensitive information effortlessly. The solutions you will build will be deployed into a finalized product serving thousands of companies, and protecting personal information of millions or people!

  • + years of hands-on machine learning experience in the industry
  • M.Sc in CS / EE / exact science fields from leading universities (or B.Sc with outstanding ML engineering experience)
  • 5+ years of hands-on experience in back-end development (server side) / Strong software engineering background
  • Hands-on experience in python/Java, SQL/NoSQL DBs (MySQL/elastic etc.), testing methodologies - a must
  • NodeJS, JavaScript, AWS eco system - an advantage
  • Can-do attitude and desire to become a technological focal point in the company
  • Familiarity with TensorFlow / Keras / PyTorch, as well as sklearn, Jupyter and pandas: advantage
  • Experience in leading large projects at the component level
  • Ability to quickly prototype ideas / solutions, perform critical analysis and using creative approaches for solving complex problems
Education
  • Experience in developing and deploying deep learning architectures at scale
  • Expertise in NLP, time series and/or anomaly detection problems
  • Proven experience in real world problem solving from the NLP domain including encountering unexpected data and production challenges
  • Inquisitive and problem solver mentality
  • Methodological with ability to break-down complex problems


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