Senior Data Scientist JB-4226

We are looking for an experienced Senior Data Scientist to join our rapidly growing data science team, focusing on creating ML-driven prediction and anomaly detection models.

Main Responsibilities:

• 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:

• 6+ years of relevant industry experience in data science or machine learning.
• Education: MSc in Math / EE / CS / Statistics OR BSc in one of the disciplines above.
• Demonstrated research expertise in the tech industry or published academic papers
• 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.
• 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.
• 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.
• Proficiency in SQL