Leverage IIoT data from manufacturing environments to drive operational improvements and develop intelligent solutions for smart factory initiatives.
Requirements
- Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, Dash/Streamlit, Flask/FastAPI)
- SQL (Advanced querying, stored procedures, query optimization)
- Google Cloud Platform (GCP): BigQuery, Google Cloud Storage (GCS), Vertex AI, Dataflow, Pub/Sub, Dataproc
- MQTT, Data Pipelines (ETL/ELT), Data Cleaning & Preprocessing, Data Integration, Data Mining
- Industrial Internet of Things (IIoT) Architectures & Principles
- Machine Learning & Statistical Analysis: Quality Control/Prediction, Process Optimization
- Time-Series Analysis, Classification, Regression, Clustering (e.g., OPTICS, DBSCAN)
Responsibilities
- Develop and validate machine learning and statistical models to support business strategy.
- Gather, manage, and analyze structured and unstructured data for reporting and analytics.
- Research and apply innovative analytical methodologies and techniques.
- Interpret and present analytical results
- Create comprehensive reports, projections, and visual presentations.
- Programming & Databases: Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, Dash/Streamlit, Flask/FastAPI)
- SQL (Advanced querying, stored procedures, query optimization)
Other
- Collaborate with cross-functional teams to define objectives and develop actionable insights.
- Adhere to established guidelines and contribute to strategic discussions.
- Bachelor’s degree in a quantitative field or 5+ years of experience in Data Science, IT, Statistics, or a related discipline.
- Excellent communication skills with the ability to simplify complex concepts for diverse audiences.
- Proven ability to work independently and exercise sound judgment on technical approaches.
