Optimization Data Scientist
Core
Develop, maintain, and scale production-grade optimization models and AI products using discrete optimization, machine learning, and data engineering to support business decisions.
Role type
Senior IC optimization data scientist (MLOps & discrete optimization)
Builds
Production optimization models, data pipelines, and AI products deployed on GCP
Domain
Technology / Operations Research / Machine Learning
Deliverable
production ML models
Required skills
discrete optimization (Linear/Integer/Mixed Integer Programming), Python, SQL, MLOps, CI/CD pipelines, data wrangling, GCP
Preferred skills
GCP BigQuery, DBT
Technologies
Python, SQL, GCP, BigQuery, DBT
Responsibilities
Maintain and improve existing optimization models by identifying weaknesses and implementing enhancements; Present model outputs and analytical findings to stakeholders; Monitor and maintain deployed AI products on GCP for robustness and stability; Improve data preparation pipelines and integrate additional data sources; Collaborate with Data Scientists, ML Engineers, and Product Managers; Apply MLOps practices for deployment and lifecycle management; Perform ad hoc analyses and create visualizations for decision-making.
