Coca-Cola
Director, Data Architect Global Equipment Platforms (Coca-Cola GEP)
US GA Atlanta · 4d ago
Citizen / GC only3+ YOE
Quick summary
AI parsed- Experience
- 3–5 years in data science, analytics, or related roles. Key skills: Python, SQL, Pandas, Scikit-learn, predictive modeling, time-series analysis, cross-functional collaboration, data storytelling. Preferred: IoT/telemetry experience, predictive maintenance, cloud platforms (Azure, Fabric, Databricks).
- Salary
- $149,000 - $173,000 USD
- Arrangement
- onsite
Responsibilities
- Develop and deploy data science models and advanced analytics solutions for high-impact use cases such as predictive maintenance, equipment health monitoring, and service optimization.
- Analyze large-scale telemetry and operational datasets to identify patterns, anomalies, and performance opportunities across equipment fleets.
- Collaborate with cross-functional teams (Product, Engineering, AI, and Analytics) to translate business problems into data-driven solutions and measurable outcomes.
- Build feature pipelines and contribute to reusable datasets and analytics capabilities that support multiple use cases.
Benefits
Medical benefits · Financial benefits · Annual incentive (30% reference value) · No relocation required (Atlanta-based)
Full description
Job Description Summary:
Position Overview:
The Data Scientist, Global Equipment Platforms plays a key role in delivering data-driven insights and machine learning solutions that improve equipment performance, optimize operations, and support innovation across Coca-Cola’s global connected equipment ecosystem.
This is a hands-on role focused on building and deploying analytics and machine learning solutions using telemetry, service, and operational data across millions of connected devices.
The role partners closely with Data Engineering (platform, infrastructure, and pipelines) and Dat…