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
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
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
This position is open to all candidates.
