Data Scientist

Check Point is looking for a talented Data Scientist to join the Policy & IoT Research team in the R&D group.

Come and join a dynamic cyber security “internal start-up” group in Check Point developing solutions based on Machine Learning to protect our customers.

We seek a strong, motivated, and highly technical researcher who can be part of the research team.

With an R&D mindset, the research outcome will be integrated into our product.

The position allows gaining extensive knowledge about security related based on Machine Learning algorithms that would help to secure organization networks, including IoT devices.

You will be able to directly impact protections against major vulnerabilities.

Your Impact & Responsibilities

• Be part of the data & research team that is responsible for Check Point’s Autonomous firewall and IoT security solution.
• Working in a development group who is in charge of releasing security solutions for Check Point’s customers.
• Work with data throughout all the pipeline from Data Engineering and Data Analytics to ML/AI models.
• Collaborate with all the data & research-related groups within Check Point.
• Writing protections to various attacks, and investigating IoT devices and understand their network footprints and integration with other systems.
• Build ML/AI solutions together with a strong partnership with our engineering team.
• Productization & development of technologies from the POC stage into an enterprise-scale security solution.
• Work closely with other development teams, QA, product management, and customers.

Your Knowledge & Skills

• 3+ years of experience as a Data Scientist in a product-oriented data analytics/feature engineering/data science team.
• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc.
• Experience with productizing machine learning models and/or implementation of Data Pipelines.
• Experience working with large and complex data sets.
• BSc in Computer Science/Software Engineering/Electrical Engineering/Statistics/Bioinformatics.
• Fast learning and ability to dive into new technologies and pieces of code.
• Enthusiastic and motivated to improve.

Advantages:

• Experience with Kusto and DataBricks.
• Experience with Cloud services.
• Experience in Cyber Security.
• Experience with securing IoT/Medical IoT.
• Experience with networking protocols.
• Experience with Big Data (Hadoop, NoSQL, Elastic Search, Spark).
• Relevant MSc degree.