Experienced Data Scientist

At Thales, we know technology has the ability to make our world more secure, sustainable, and inclusive – and that it’s all driven by human intelligence.

Because it takes human intelligence to build and power the systems and solutions that people depend on every day. So we stay curious and make space for diverse points of view. We share what we know and we challenge what’s possible.

We’re driving progress in some of the world’s most important industries - from the bottom of the oceans to the depths of space and cyberspace - and from manufacturing to engineering, we work together to build a future we can all trust.

Imperva, a Thales company, is a globally recognized cybersecurity leader, dedicated to securing data and applications across diverse environments. Our cutting-edge solutions empower organizations to safeguard their most critical assets, ensuring robust protection against emerging threats.

Lately Thales acquired Imperva and became a Top 5 Cyber Security Global Leader.

Imperva, a Thales company, is committed to championing cybersecurity excellence and protecting the pulse of businesses worldwide. Our solutions proactively identify, evaluate, and eliminate current and emerging threats, ensuring organizations can innovate for their customers without compromising security. Globally, we prevent 89.71 billion attacks monthly, analyze 2.6 trillion requests monthly, and monitor threats in 184 countries.

We work in a Hybrid Model from home and from the office and We have been recognized as one of the Best 50 high-tech companies to work for in Israel 2024 by Dun & Bradstreet! 

If you're passionate about shaping the future of cybersecurity and driving innovation in the field, we encourage you to seize this opportunity and become part of our team. Apply now to protect what matters most.

We're looking for an Experienced Data Scientist to join our Threat Research Group, located in our Tel Aviv Office.

Our Threat Research group is composed of elite researchers and developers.

We research applications, DDoS, and database attacks, develop algorithms for new products, and drive innovation and thought leadership in cybersecurity.

Key Responsibilities:

• Lead and execute data-driven research projects in application and data security, using advanced machine learning and deep learning techniques.
• Own the end-to-end research process: from ideation and prototyping to delivering models to production environments.
• Develop, implement, and optimize innovative security solutions to be integrated into Imperva’s products.
• Analyze large-scale security data (network traffic, application requests, database transactions) to uncover hidden patterns, threats, and attack vectors.
• Contribute to team knowledge sharing and thought leadership (e.g., technical blogs, patents, conference presentations, workshops).
  
  

Requirements:

• 4+ years of hands-on experience researching, developing, and delivering machine learning models in high-scale, production environments (Python preferred).
• Strong background in analyzing large, complex datasets using SQL, Spark, or similar tools.
• Deep experience with analytics, machine learning, and deep learning frameworks: Scikit-learn, SciPy, TensorFlow, Pandas, NumPy, PyTorch, Keras.
• Demonstrated ability to solve multidisciplinary, data-driven problems.
• Excellent teamwork and communication skills.
• Experience in application or data security (strong advantage).
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.
  
  

Legal Notice:

Imperva as a Thales company champions inclusion, and we believe diversity strengthens the fabric of our culture. We are an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

 If you need an accommodation or assistance in order to apply for a position with Thales, please contact us at [email protected].

Thales, champions inclusion and we believe diversity strengthens the fabric of our culture. We are an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, colour, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.