- Collect structure and process large volumes of data coming from automotive embedded systems (CSV MF4 telemetry sensors CAN).
- Design and implement data ingestion and transformation pipelines.
- Clean validate and prepare data (missing values anomalies normalization feature engineering).
- Design train and evaluate Machine Learning and Deep Learning models for thermal and vehicle performance use cases.
- Optimize and deploy predictive models into operational environments.
- Analyze vehicle and component performance in close collaboration with engineering teams.
- Work with data IT and business teams and clearly present technical results and recommendations
Qualifications :
- Masters degree or Engineering degree in Data Science Computer Science Applied Mathematics or equivalent.
- Experience in automotive data or embedded systems projects is a strong asset.
Hard Skills
- Strong Python skills (pandas NumPy scikit-learn).
- Deep Learning frameworks: TensorFlow and/or PyTorch.
- Large-scale data processing and big data environments.
- Data preprocessing: cleaning normalization standardization and feature engineering.
- Machine Learning and Deep Learning model development validation and optimization.
- Good understanding of automotive embedded data and systems: CAN sensors ECUs ADAS telemetry.
- Experience with Databricks (distributed processing collaborative notebooks).
- Development environments: Visual Studio / VS Code.
- Knowledge of engineering and industrial data tools (GI tools depending on project context)
Soft Skills
- Strong analytical mindset and attention to detail.
- Autonomy and ability to work in complex technical environments.
- Strong collaboration skills with multidisciplinary teams.
- Clear and effective written and verbal communication.
Informations supplémentaires :
You are rigorous creative and curious and you enjoy working as part of a team while developing your skills in a dynamic environment. You are passionate about service-oriented professions and wish to grow within a friendly and supportive work environment join us!
Remote Work :
No
Employment Type :
Full-time
Collect structure and process large volumes of data coming from automotive embedded systems (CSV MF4 telemetry sensors CAN).Design and implement data ingestion and transformation pipelines.Clean validate and prepare data (missing values anomalies normalization feature engineering).Design train and e...
- Collect structure and process large volumes of data coming from automotive embedded systems (CSV MF4 telemetry sensors CAN).
- Design and implement data ingestion and transformation pipelines.
- Clean validate and prepare data (missing values anomalies normalization feature engineering).
- Design train and evaluate Machine Learning and Deep Learning models for thermal and vehicle performance use cases.
- Optimize and deploy predictive models into operational environments.
- Analyze vehicle and component performance in close collaboration with engineering teams.
- Work with data IT and business teams and clearly present technical results and recommendations
Qualifications :
- Masters degree or Engineering degree in Data Science Computer Science Applied Mathematics or equivalent.
- Experience in automotive data or embedded systems projects is a strong asset.
Hard Skills
- Strong Python skills (pandas NumPy scikit-learn).
- Deep Learning frameworks: TensorFlow and/or PyTorch.
- Large-scale data processing and big data environments.
- Data preprocessing: cleaning normalization standardization and feature engineering.
- Machine Learning and Deep Learning model development validation and optimization.
- Good understanding of automotive embedded data and systems: CAN sensors ECUs ADAS telemetry.
- Experience with Databricks (distributed processing collaborative notebooks).
- Development environments: Visual Studio / VS Code.
- Knowledge of engineering and industrial data tools (GI tools depending on project context)
Soft Skills
- Strong analytical mindset and attention to detail.
- Autonomy and ability to work in complex technical environments.
- Strong collaboration skills with multidisciplinary teams.
- Clear and effective written and verbal communication.
Informations supplémentaires :
You are rigorous creative and curious and you enjoy working as part of a team while developing your skills in a dynamic environment. You are passionate about service-oriented professions and wish to grow within a friendly and supportive work environment join us!
Remote Work :
No
Employment Type :
Full-time
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