Senior Data Scientist - Operation Analyst
Core
Senior Data Scientist driving advanced analytics initiatives to improve operations accuracy, focusing on maintenance, reliability, and inventory modeling for a Fortune 500 client.
Role type
Senior IC data scientist (operations analytics & ML)
Builds
Databricks Apps (Streamlit/Dash/Gradio) replacing legacy reports; Delta Lake tables for work orders and asset data; ML models for failure prediction and demand forecasting.
Domain
Industrial maintenance (EAM) & Reliability Engineering
Deliverable
production ML models | product features
Required skills
Python, PySpark, SQL, Databricks (Delta Lake, Unity Catalog, Workflows), Databricks Apps (Streamlit/Dash/Gradio), statistical modeling, time-series forecasting, survival analysis, anomaly detection, NLP/LLMs
Preferred skills
AWS (S3, IAM), MLflow, deep learning
Technologies
Databricks, Delta Lake, Unity Catalog, AWS, MLflow, Streamlit, Dash, Gradio, Oracle, LLMs
Responsibilities
Extract and model decades of work order and asset data into Delta tables; build maintenance and work-order analytics (backlog, aging, crew productivity); develop reliability and asset-health models (failure patterns, time-to-failure); create materials and inventory analytics (demand forecasting, stock optimization); build self-service Databricks Apps for ops users; perform text analytics on work-order notes using LLMs to classify failure modes.