Senior Data Scientist
Core
Develop sophisticated machine learning models to drive operational excellence and support autonomous optimization of cloud workloads.
Role type
Senior IC data scientist (cloud optimization)
Builds
Production ML models for Application Performance Automation (APA)
Domain
Cloud infrastructure, Kubernetes, DevOps/MLOps
Deliverable
production ML models
Required skills
tabular and time-series modeling, classical machine learning, deep learning, data pipeline construction, complex SQL query debugging, OLAP/OLTP system navigation
Preferred skills
cloud platforms (AWS, GCP, Azure), container tools (Kubernetes), MLOps tools (MLflow, Feast), handling imbalanced datasets
Technologies
SQL, Clickhouse, BigQuery, Snowflake, MLflow, Feast, Kubernetes, AWS, GCP, Azure
Responsibilities
Design, execute, and evaluate data science experiments; create, validate, and maintain state-of-the-art algorithms for tabular and time-series data; perform deep-dive data analysis to shape business strategies; write, debug, and optimize complex SQL queries; collaborate with cross-functional teams to align projects with company goals
Seniority
Senior, hands-on IC
