Data Scientist

We are looking for a highly technical and innovative, hands-on Data Scientist to join our Threat Research group.

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 contribute to the development, evaluation, and deployment of machine learning, deep learning, and large language models (LLMs) for cybersecurity applications.

Drive and support data-driven research projects, from ideation and prototyping to production deployment, using both classic ML and advanced deep learning techniques.

Perform comprehensive data collection, preprocessing, analysis, and feature engineering on large-scale security datasets.

Develop and optimize innovative security solutions for integration into Imperva products.

Collaborate closely with data scientists, security researchers, engineers, and prod

דרישות:

2 - 4 years of industry experience in data science or machine learning, with hands-on involvement in real-world projects - internships, academic projects, or open-source contributions are highly valued.

Proven experience developing and deploying ML models (Python preferred).

Proficient understanding and hands-on experience with neural networks, deep learning, and LLMs, as well as classic machine learning techniques.

Strong experience in data analysis, manipulation, and transformation using tools such as Pandas, NumPy, and related libraries.

Familiarity with ML/DL frameworks (e.g., PyTorch, TensorFlow, Keras, Hugging Face).

Experience with cloud platforms, Kubernetes, microservices, or CI/CD is a plus.

Background in application or data security is a strong advantage.

A degree in a quantitative field is valued but not required with strong relevant experience.

Excellent teamwork, communication skills, and a strong willingness to learn and innovate. המשרה מיועדת לנשים ולגברים כאחד