Staff Engineer - Data Scientist
Core
Building and deploying ML models for predictive maintenance, anomaly detection, demand forecasting, and root cause analysis in industrial manufacturing environments.
Role type
Staff Data Scientist (Manufacturing/IoT)
Builds
Production ML models for predictive maintenance, anomaly detection, demand forecasting, and root cause analysis
Domain
Manufacturing / Industrial IoT / Operations
Deliverable
production ML models
Required skills
SQL, Python, Spark, Kafka, Airflow, Delta Lake, scikit-learn, TensorFlow, PyTorch, statistical methods (time series, regression, clustering, hypothesis testing), A/B experiment design, industrial protocols (OPC-UA, MQTT, Modbus), medallion/lakehouse architectures
Preferred skills
Experience with MES, SCADA, and ERP systems, OEE, Six Sigma, SPC, and lean methodologies
Technologies
Databricks, Snowflake, AWS, Azure
Responsibilities
Bridge OT/IT systems for real-time data extraction; build scalable cloud data pipelines for high-volume manufacturing and IoT data; translate complex model outputs into actionable recommendations for operations and executive stakeholders; design A/B experiments and simulations to validate process changes and quantify business impact
Seniority
Staff, hands-on IC with strategic impact