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Senior Data Scientist
Not specifiedFull-timeData ScienceCybersecurity
Develop and deploy predictive and anomaly-detection models using large automotive streaming datasets. Work with data science, engineering, and domain teams to build production solutions for cybersecurity, API security, and vehicle quality use cases.
Responsibilities
- Research large and diverse automotive streaming tabular datasets.
- Design and deploy predictive and anomaly-detection models and algorithms.
- Work with domain experts and colleagues to develop models and algorithm workflows that meet requirements.
- Partner with data engineering and development teams to productize solutions.
- Promote collaboration and knowledge-sharing across the data science team.
Requirements
- At least 5 years of relevant data science or machine learning experience.
- Master’s degree in mathematics, electrical engineering, computer science, or statistics.
- Research expertise in industry or published academic work.
- Strong mathematics, statistics, machine learning, deep learning, and data mining skills.
- Experience with data science pipelines, including data cleansing, feature engineering, and model tuning.
- Advanced Python skills and experience with data science libraries such as Pandas, Polars, NumPy, SciPy, and Scikit-learn.
- End-to-end experience developing AI, data science, or machine learning products or features and deploying them to production.
- Experience modeling streaming, sequential, or time-series data in batch or real-time production environments.
- Experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch.
- Proficiency in SQL.