Data Scientist III
Core
Build and optimize scalable data infrastructure and pipelines to power analytics and machine learning solutions across the organization.
Role type
Senior IC data scientist (ML infrastructure & pipelines)
Builds
Scalable data pipelines, cloud-native data infrastructure, and production ML workflows
Domain
Energy & Commodities markets, Cloud Data Engineering, Machine Learning
Deliverable
production ML models | infrastructure
Required skills
Python, Machine Learning frameworks (PyTorch, TensorFlow, Keras, scikit-learn), Computer Vision (image/video processing, object detection, segmentation), End-to-end ML workflows, SQL/NoSQL, Cloud platforms (AWS, Azure, GCP), Distributed computing
Preferred skills
Data governance, Data observability, Workflow orchestration (Airflow, MLflow)
Technologies
AWS, Azure, GCP, PyTorch, TensorFlow, Keras, scikit-learn, Airflow, MLflow, Git
Responsibilities
Design and maintain scalable data pipelines using cloud platforms; Develop and maintain data infrastructure for analytics and ML; Improve data quality, lineage, and reliability; Support deployment and monitoring of ML solutions in production; Collaborate with stakeholders to translate data needs into technical requirements
Seniority
Senior, hands-on IC
