Senior Data Scientist – Manufacturing Intelligence, Machine Learning & AI
Tasks
- Analyze real time and historical manufacturing data sources
- Build APIs and decision support tools for plant teams
- Build machine learning and statistical models for manufacturing anomaly detection
- Collaborate with data engineering platform and software teams to productionize solutions
- Create and validate features from factory sensor and machine data
- Create reusable semantic data models and consistent manufacturing metrics
- Deploy and monitor models for drift and performance
- Design streaming data workflows for near real time analytics
- Detect equipment health issues using process monitoring
- Develop dashboards alerts and explainability views
- Develop manufacturing quality prediction models
- Implement MLOps for experiment tracking model versioning and monitoring
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | Autoencoders | BigQuery | Classification | Cloud Functions | Cloud Run | Cloud Storage | Clustering | Dash | Data Drift | Data Drift Detection | Dataflow | Drift Detection | Experiment tracking | FastAPI | Feature Engineering | Forecasting | Grafana | Isolation Forest | Isolation forests | Kafka | Looker | Machine Learning | Mahalanobis Distance | Model Deployment | Model Drift | Model Drift Detection | Model Explainability | Model Monitoring | Model versioning | Mqtt | NumPy | Pandas | Power BI | Process control | Process optimization | Pub/Sub | PyTorch | Python | Regression | Retraining | SQL | SciPy | Scikit-learn | Semi-Supervised Learning | Semi-supervised | Series analysis | Statistical Process Control | Statistical modeling | StatsModels | Streamlit | Supervised Learning | TensorFlow | Time Series | Time Series Analysis | Unsupervised Learning | Vertex AI | XGBoost
Education
Roles
Regions
Countries
States
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