Senior Data Scientist

Data · Tel Aviv, Israel
Department Data
Employment Type Full-Time
Minimum Experience Experienced

We are hiring! As part of our rapid growth, Grip is looking for an experienced Data Scientist to join our growing data team. If you are a Data Scientist who is looking for a fast-growing environment, an innovative product, and most importantly, amazing people - we'd love to hear from you!

Grip is developing a groundbreaking product, and we are looking for people with a passion for working on hard, interesting problems. This is a unique opportunity to join a fast-growing B2B cybersecurity startup, with hands-on product responsibilities, room for initiative, growth and for making an impact.

You will lead projects from research to production, develop innovative NLP and machine learning solutions, and tackle problems that have never been solved before.

Responsibilities:

  • Lead, design, create and implement new Machine Learning approaches for various NLP and data challenges.
  • Responsibility over the whole data science development cycle, from data exploration and research up to model deployment in production, including improving the algorithms' performance and quality evaluation.
  • Explore new data sources and methods to measure, support and increase the accuracy of the models.

Requirements:

  • BSc / MSc in a quantitative field such as Statistics, Computer Science, Mathematics or equivalent practical experience.
  • 5+ years of experience with statistical analysis, machine learning practices, and NLP algorithms - a must.
  • Experience in working with Python and the Data Science stack (pandas, sklearn, numpy, PyTorch, matplotlib, TensorFlow, etc.)
  • Familiarity with SQL, statistical tools, and data analysis.
  • Creative, open-minded, a quick learner, and a problem-solver.
  • Team player with the ability to communicate clearly and simplify complex ideas and designs.

Thank You

Your application was submitted successfully.

  • Location
    Tel Aviv, Israel
  • Department
    Data
  • Employment Type
    Full-Time
  • Minimum Experience
    Experienced