Data Scientist – Global Equipment Platforms (Coca-Cola GEP)
Core
Building and deploying machine learning and analytics solutions to optimize equipment performance and operations across Coca-Cola's global connected equipment ecosystem.
Role type
Senior IC data scientist (IoT/telemetry)
Builds
Predictive maintenance models, equipment health monitoring systems, and service optimization solutions for bottlers and operating units.
Domain
Manufacturing / Industrial IoT
Deliverable
production ML models
Required skills
Python, SQL, Pandas, Scikit-learn, time-series analysis, predictive modeling, cross-functional collaboration, data pipeline integration, statistical analysis, model monitoring
Preferred skills
IoT/connected devices experience, predictive maintenance, anomaly detection, Azure/Fabric/Databricks, A/B testing, reusable analytics initiatives
Technologies
Python, SQL, Pandas, Scikit-learn, Azure, Fabric, Databricks
Responsibilities
Develop and deploy data science models for predictive maintenance and equipment health; analyze large-scale telemetry datasets to identify patterns and anomalies; build feature pipelines and reusable datasets; validate and monitor data models based on performance feedback; collaborate with data engineering and product teams to translate business problems into scalable solutions.
Seniority
Mid-Senior, hands-on IC