Data Scientist
Core
Design, develop, deploy, and operate AI/ML solutions at enterprise scale to solve business problems and maximize impact.
Role type
Senior IC Data Scientist (MLOps & Engineering)
Builds
Production-grade machine learning models and advanced analytics solutions
Domain
Industrial automation / Material handling / Enterprise AI
Deliverable
production ML models
Required skills
Python, statistical analysis, machine learning frameworks, feature engineering, model deployment, MLOps practices, cloud platforms (Snowflake, AWS, Azure, GCP), CI/CD pipelines
Preferred skills
Experience with modern data platforms, cross-functional collaboration, proactive learning
Technologies
Python, Snowflake, AWS, Azure, GCP, CI/CD
Responsibilities
Design and develop machine learning models from exploration to production, operationalize models using MLOps best practices, collaborate with data engineering teams to ensure scalability and performance, work with cross-functional teams in agile environments
Seniority
Senior, hands-on IC
