Grip Security

Data Scientist

Tel Aviv, Israel
Python Pandas NumPy SQL Deep Learning PyTorch Machine Learning
Description

Grip Security is hiring an experienced Data Scientist! 

We are developing a groundbreaking product, and we are seeking individuals who are passionate about tackling complex and intriguing challenges.

This is a unique opportunity to join a fast-growing B2B startup in the software-as-a-service security industry, with hands-on product responsibilities, room for impactful initiative and growth (More details: https://grip.security).

The ideal candidate will excel in team collaboration and propel projects from ideation to realization.

Responsibilities 

Solve several of data problems - 

  • Lead, plan, design, create and implement machine learning approaches for various data challenges. 
  • Work closely with a collaborative team of Data Scientists, engineers and analysts to enhance Grip’s offerings. You will be responsible for the entire data science lifecycle, from data exploration and research to the deployment of models in production. This includes refining algorithms for enhanced performance and conducting quality assessments. 
  • Apply different methods to extract information from new data, collaborate with Product on new features and develop infrastructure to facilitate research and tools for analysts. 
  • At least 5 years of experience as a Data Scientist in the hi-tech industry. 
  • Experience in working with Python and the Data Science stack (pandas, sklearn, numpy, matplotlib / plotly, etc.) and SQL. 
  • A proven record of conceiving, designing and delivering successful data science projects to production. A proven record of some failures as well. 
  • Experience with deep learning, namely PyTorch – an advantage. 
  • Experience with LLMs, transformers and additional NLP techniques – strong advantage. 
  • MSc In a quantitative field such as Statistics, Computer Science, Mathematics OR equivalent practical experience- an advantage. 
Grip Security
Grip Security
Cyber Security Information Technology Network Security Productivity Tools SaaS

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