Data science

Preferred candidate profile

• Experience:
• Proven experience in data science roles with a focus on machine learning, AI, and predictive modeling.
• Experience working with real-time/streaming data and telematics is highly desirable.
• Background in the automotive industry or with automotive data is a plus.
• Skills:
• Proficiency in programming languages such as Python, R, or Java.
• Hands-on experience with machine learning, deep learning frameworks and libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Keras).
• Knowledge of statistical analysis and modeling techniques (e.g., regression, classification, clustering).
• Familiarity with data processing tools and frameworks (e.g., Apache Kafka, Apache Flink, Spark).
• Strong skills in feature engineering, model evaluation, and algorithm tuning, MLOps.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn, ggplot) and techniques.
• Excellent problem-solving abilities, with a knack for deriving actionable insights from complex datasets.
• Preferred:
• Experience with deep learning and reinforcement learning techniques.
• Knowledge of vehicle communication protocols (e.g., CAN bus) and telematics systems.
• Familiarity with cloud-based machine learning services and platforms (e.g., AWS SageMaker, Google AI Platform, Azure ML).