Optimization Data Scientist
Core
Maintaining and improving production-ready optimization models and AI products by integrating advanced optimization with machine learning and data engineering.
Role type
Senior IC optimization data scientist (MLOps & production ML)
Builds
Robust, scalable AI products for day-to-day decision-making
Domain
Tech / Operations Research / Cloud Infrastructure
Deliverable
production ML models
Required skills
discrete optimization (Integer/Mixed Integer Programming), Python (production-ready code), GCP (data & deployment), MLOps, CI/CD pipelines, SQL, data wrangling, DBT
Preferred skills
Agile collaboration, stakeholder communication, ad-hoc analysis
Technologies
Python, GCP, DBT, SQL
Responsibilities
Maintain and enhance existing optimization models; present model outputs and findings to stakeholders; monitor deployed AI products on GCP; improve data preparation and wrangling pipelines; collaborate with Data Scientists, ML Engineers, and Product Managers; implement MLOps best practices; create visualizations for data-driven decisions.
Seniority
Senior, hands-on IC