Design, deploy, and monitor machine learning models for cybersecurity threat detection, anomaly scoring, alert triage, and predictive intelligence, translating complex security challenges into scalable, actionable AI solutions.
Data Scientist - Behavior Evaluation
📜 Description
- Analyze large-scale fleet and simulation datasets to extract actionable insights.
- Develop algorithms and methods for data processing, feature engineering, model training, and performance optimization.
- Evaluate and validate model performance through rigorous testing and analysis.
- Communicate technical findings and recommendations to technical and non-technical audiences.
- Mentor junior data scientists and engineers and provide technical guidance.
🛠️ Requirements
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field with 8+ years of experience as a Data Scientist.
- Strong programming skills in Python, including experience with relevant libraries such as scikit-learn, and Pandas & SQL.
- Expertise in a wide range of machine learning techniques, including deep learning, reinforcement learning, and statistical modeling.
- Experience working with large-scale datasets and distributed computing platforms (e.g., Spark, Hadoop) with solid understanding of data processing, feature engineering, and data visualization techniques.
- Strong communication and presentation skills, with the ability to effectively convey technical information to diverse audiences.
- Experience working with autonomous driving data and algorithms, robotics, control systems or related fields.
- Experience with real-time data processing and low-latency systems.
- Publications in top-tier machine learning or autonomous driving conferences.
Full job description
In this role, you will:
Qualifications
Bonus Qualifications
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