Data Scientist

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.