Lead Data Scientist
Tasks
- Analyze large volumes of industrial sensor data
- Build predictive solutions using sensor and IoT data
- Define data science roadmap aligned to platform strategy
- Design data processing pipelines
- Design develop validate predictive machine learning models
- Drive model versioning and experimentation
- Ensure model integration in production
- Ensure model reproducibility and traceability
- Establish modeling standards and best practices
- Implement real-time inference
- Lead mentoring for data science team
- Monitor models in production
- Participate in data team architecture decisions
- Perform feature engineering
- Promote data governance standards
Perks/Benefits
- Competitive compensation package
- Flexible work model
- High-impact projects
- Leadership of specialized team
- Strategic technical influence
Skills/Tech-stack
Azure | Cloud Computing | Data Governance | Data pipeline | Databricks | Experiment tracking | Feature Engineering | IoT | MLOps | MLflow | Machine Learning | Model Monitoring | Model versioning | Pandas | PyTorch | Python | Real Time | Real-time Inference | Scikit-learn | TensorFlow | Time Series
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
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