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‪Harmonya-Senior Data Scientist, ‪Israel High Tech Jobs

562 found
T8
Team8

Harmonya-Senior Data Scientist

Harmonya-Senior Data Scientist

Israel, Tel Aviv

28.11.2021
T8
Team8

Harmonya-Head Data Science

Harmonya-Head Data Science

Israel, Tel Aviv

28.11.2021
I
Intel

Senior Data Scientist

Senior Data Scientist

Israel, Jerusalem

28.11.2021
C
Cloudinary

Senior Data Scientist

Senior Data Scientist

Israel

21.11.2021
T8
Team8

Harmonya-Senior Software Engineer

Harmonya-Senior Software Engineer

Israel, Tel Aviv

28.11.2021
M
Myheritage

Senior Data Scientist

Senior Data Scientist

Israel, Tel Aviv

28.11.2021
A
Akamai

Senior Data Scientist

Senior Data Scientist

Israel, Tel Aviv

28.11.2021
T8
Team8

Noogata-Senior Data Scientist

Noogata-Senior Data Scientist

Israel, Tel Aviv

28.11.2021
Wix
Wix

Infosec Senior Data Scientist

Infosec Senior Data Scientist

Israel, Tel Aviv

26.11.2021
M
Microsoft

Senior Data Scientist - Health

Senior Data Scientist - Health

Israel, Herzliya

23.11.2021
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Team8

Harmonya-Senior Data Scientist

Israel, Tel Aviv
Details

In this role, you will:

  • Be part of a data science team where you will lead end-to-end ML projects from data extraction through model validation to model deployment.
  • Develop various ML Models, mostly focused on NLP models such as named entity recognition, keyword extraction, and text classification to create the ultimate taxonomy in the world of fast-moving products, Graph theory model to identify various relationships between products, and trend analysis models to surface the most interesting consumer-related trends
  • Discover and translate business challenges into data pipelines and models.
  • Manage and design customer-specific analytical solutions using Machine Learning.
  • Work closely with management, and data engineering teams to integrate data collection, data quality, and core model output into production systems.
  • Convey complex analysis results clearly and with conviction to stakeholders at all levels.
Requirements:
  • 5+ years of experience with data science projects from conception to production.
  • Experience with NLP practices such as part of speech tagging, named entities recognition, and word embeddings.
  • Broad knowledge of multidisciplinary data science modeling techniques and their use within the industry.
  • Fluency in Python and hands-on experience with data science and NLP packages (spaCy, nltk, gensim, TensorFlow, PyTorch, scikit-learn).
  • Experience in large-scale training and model evaluation in an enterprise environment.
  • Big Advantage: Experience with Cloud Machine Learning Platforms (Google ML Engine, AWS SageMaker) and/or commercial tools (DataRobot, BigML, or others).
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