Senior Data Scientist

About the job

Join an Israeli cybersecurity company, specializing in cloud-based, AI-powered solutions for connected vehicles, smart mobility, and IoT ecosystems.

What You'll Be Doing

As a Senior Data Scientist, you will lead the analysis of large (often massive) datasets, develop models and algorithms to meet customer needs. You will be working closely with other data scientists, data engineers, product managers and domain experts to improve our automotive purpose-built data management platform, focusing on vehicle quality, cybersecurity and API security use cases.

You’ll play a pivotal role in driving innovation and shaping the future of ML-based solutions in automotive quality and cyber security. You’ll work on challenging datasets, develop advanced models, and see your work integrated into impactful, real-world applications.

• Conduct in-depth research on large and diverse automotive live streaming tabular datasets, preprocess the data, as well as extract and present key insights
• Search and craft indicative features that will enhance the value of ML models
• Explore, design and deploy cutting-edge ML models or algorithms solutions for prediction purposes and anomaly detection
• Collaborate closely with domain experts and peers to research and implement models and algorithm flows that best fit requirements
• Partner with our data engineering and development teams to devise innovative solutions for productization
• Encourage collaboration and knowledge-sharing within the data science team

Requirements

• Education: MSc in Math / EE / CS / Statistics OR BSc in one of the disciplines above and 10+ years of substantial, hands-on experience in data science or a closely related domain – demonstrating expertise equivalent to that typically acquired through formal advanced education
• 5+ years of relevant industry experience in data science or machine learning
• Strong coding and software engineering experience focusing on advanced proficiency in Python, especially in data science libraries such as Pandas, Polars, NumPy, SciPy, Scikit-learn, and others
• Profound understanding and hands-on expertise in mathematics, statistics, machine/deep learning, and data mining
• Expertise in data science pipelines is essential, including data cleansing, feature engineering, and model tuning
• End-to-end experience in leading the development of AI/DS/ML products or features, including managing their deployment in production environments, whether through direct integration or by using existing APIs
• Demonstrated experience in working streaming data (including sequential/time series) and implementing corresponding algorithms/models in a production environment, whether in batch processing or real-time scenarios
• Solid experience in deep learning, utilizing platforms such as TensorFlow, Keras, PyTorch, etc.

Job No. 415600

CV to hilas@nisha.co.il