Data Scientist

The Data Scientist applies statistics, machine learning, optimization, and programming to manufacturing data to improve safety, quality, throughput, cost, equipment reliability, and decision-making across plants. The role partners closely with Manufacturing IT, plant operations, engineering, quality, maintenance, and data engineering teams. Main Responsibilities:

• Build reliable analytical datasets and pipelines using SQL, Python, Spark, and Databricks.
• Build AI application from ground up; impacting all of client’s Manufacturing
• Perform exploratory analysis, statistical studies, root-cause analysis, forecasting, optimization, and experimentation.
• Develop, validate, document, and monitor predictive or prescriptive models for use cases such as downtime, scrap, defects, bottlenecks, anomaly detection, yield, and preventive maintenance.
• Evaluate data quality, lineage, coverage, missingness, bias, and operational readiness before modeling.
• Convert findings into practical recommendations that plant personnel and leaders can use in daily decisions

• 8-10 years of experience
• Data modeling
• Data pipeline
• Data analytics - able to build something out of messy data
• Bachelor’s Degree required