Key Responsibilities:
- Work with Automotive data protocols and data sets to initiate new algorithms, as well as enhance the already implemented algorithms
- Write deliverable and testable ML pipelines for a variety of Anomaly Detection models
- Collaborate with Cybersecurity experts to give the best model possible for each different cyber attack/ use case
- Collaborate with and mentor engineers and other partners
- Participate in SOC review board meetings, use case analysis. Make recommendations for tuning and changes to improve the detection
Required Skills and Experience:
- BSc/MSc degree in Computer Science/ Engineering / Mathematics or Statistics
- 3+ years of experience working as Data Scientist / ML Engineer
- 2+ years of experience writing ML data pipelines
- 2+ years of experience doing data analysis and modeling using Jupyter notebook (or equivalent)
- Ability to transform data into insights, create models and presentable results
- Experience using Python (preferably scikit-learn, Keras, PyTorch, Tensorflow, etc)
- Experience creating reports and data visualizations
- Experience with unsupervised learning
Advantages:
- Experience writing Pyspark
- Understanding of network models
- Experience in the Cybersecurity domain
- Experience in the Automotive domain
- Familiarity with Docker, Linux, CI/CD, Kubrenetes, etc
- Experience working with cloud providers (AWS, GCP, etc)
- Team player
- Presentation skills
- Startup attitude, willingness to build from scratch
We look forward to hearing from you!
