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Hod Hasharon , Israel ● Full time
Data Science Manager

Job Description :

Who we are:

Allot (NASDAQ) is an established industry leader in network intelligence and security solutions for service providers and enterprises around the world.We believe in giving our Tier-1 customers around the world real value by offering them cutting-edge solutions that make their networks smarter and their users more secure. At Allot, you’ll have the opportunity to develop professionally and personally in a dynamic environment with like-minded people who always go the extra mile to succeed.   

What you’ll do:

The Data science Manager will report to the Head of System Architecture and will work closely with both System Architecture and CTO groups.

  • Manage a team of data scientists and collaborate with domain experts to develop advanced ML/AI models for: QoE predictions, Congestion detection and network anomaly detection (DDOS)
  • Lead ML/AI research projects including: data collection, data analysis, prototyping, development, production, and monitoring
  • Extract insights and actionable recommendations from large volumes of data of ISPs and Mobile Operators
  • Design complex data visualizations to communicate ideas/research to customers and company leaders

Requirements :

What you should have:

  • 3+ of experience as a Data Scientist
  • 2+ years of experience leading a team
  • Hands on experience with network protocols, computer networks or network traffic analysis
  • Academic degree in Computer Science, Engineering, Mathematics
  • Familiarity with statistical modeling techniques
  • Familiarity with machine learning (both supervised and unsupervised) and neural network
  • Experience with statistical package programming skills (e.g. Python, MATLAB, R)
  • Excellent communication, collaboration, and leadership skills
  • Excellent teaching and mentoring skills


  • Hands-on experience and knowledge of scripting languages: Python/PySpark as well as DS workflow management tools including MLFlow, AirFlow, etc.
  • Hands-on experience using Big Data and statistical analysis tools such as Hadoop/Spark and SQL
  • Experience with other programming languages like Java, C++
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