Israel
Data Scientist
R&D
Where
Israel
PlaxidityX is a global leader in the automotive cyber security industry. We protect drivers & manufacturers from cyber attacks on their vehicles. We use top notch technology & have several products for inside & outside the car. Our growing team is built of talented thinkers and we are always looking for more!
About The Position
Join PlaxidityX, a leading force in automotive cybersecurity, where innovation drives our mission to safeguard drivers and manufacturers from cyber threats. As a Senior Data Scientist at PlaxidityX, you'll spearhead transformative initiatives at the forefront of automotive technology.
Why PlaxidityX?
- Pioneering the automotive cybersecurity landscape with cutting-edge solutions.
- Empowering millions of lives through revolutionary advancements in safety and security.
- Immersed in an environment of continuous learning and technological excellence.
- Opportunity to shape the future of automotive cybersecurity globally.
Responsibilities:
- Lead the end-to-end development and deployment of machine learning models for anomaly detection and security event analysis.
- Analyze large-scale security event logs, network traffic, and behavioral data to identify patterns, trends, and potential threats.
- Design and implement real-time detection algorithms, ensuring they are scalable, efficient, and production-ready.
- Independently drive data science initiatives, from problem definition to solution deployment, while collaborating with L3 security analysts, data engineers, and SOC teams.
- Translate business and security challenges into data-driven solutions, proactively identifying opportunities to enhance detection capabilities.
- Build and maintain robust data pipelines for structured and unstructured security datasets.
- Work with large-scale unstructured data, including text-based logs and security reports, leveraging NLP, LLMs, and retrieval-augmented generation (RAG) techniques where applicable.
- Communicate findings and insights clearly to both technical and non-technical stakeholders, ensuring alignment with business and security objectives.
- Stay up to date with industry trends, continuously improving methodologies, models, and processes.
Requirements
- 5+ years of experience in machine learning and data science, with the ability to quickly learn and adapt to the cybersecurity domain.
- Bachelor’s degree in Computer Science, Data Science, or a related field.
- Strong knowledge of supervised and unsupervised learning techniques, particularly in anomaly detection.
- Proven ability to work independently, take initiative, and drive projects from concept to production without relying on an established data science team.
- Hands-on experience with Python, TensorFlow/PyTorch, Scikit-learn, Spark, and SQL.
- Strong software engineering skills - ability to write production-level ML code and work with MLOps pipelines.
Advantages
- Practical experience with NLP techniques, including NER and transformer-based models (e.g., BERT, GPT, T5).
- Familiarity with LLMs, retrieval-augmented generation (RAG), and their real-world applications.
- Experience with network security, threat modeling, and intrusion detection systems (IDS).
- Familiarity with SIEM systems and threat intelligence feeds.
- Advanced academic qualifications (Master's, PhD) in Data Science, Computer Science, or a related field.
At PlaxidityX, you'll be part of a dynamic team dedicated to pushing the boundaries of automotive cybersecurity. If you're passionate about leveraging data science to drive meaningful impact and thrive in a role where innovation is valued and encouraged, we want to hear from you. Join us in shaping the future of automotive security and make your mark on the world.
