Experienced Data Scientist
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Job Description
At Thales we know technology has the ability to make our world more secure sustainable and inclusive and that its 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 whats possible.
Were driving progress in some of the worlds 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 youre 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.
Were 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 Impervas 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 equalopportunity/affirmativeaction 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.
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.
Required Experience:
Senior IC
Employment Type
Full-Time
