Senior Data Scientist, Cloud Gaming - Prescriptive Analytics and Optimization
Core
Building a data platform using prescriptive modeling and constrained optimization for real-time routing, scheduling, and capacity management in cloud gaming.
Role type
Senior IC data scientist (prescriptive analytics & optimization)
Builds
Scalable ML/AI and optimization models for demand forecasting, capacity allocation, and user-specific feature engineering for cloud gaming services.
Domain
Cloud gaming, operations research, prescriptive analytics
Deliverable
production ML models
Required skills
prescriptive modeling, constrained optimization, linear programming, network flow, decision theory, multi-armed bandit, Python, data cleaning, aggregation, transformation, extraction, time series forecasting, supervised/unsupervised learning
Preferred skills
time series analysis for demand prediction, active ML production pipelines, deploying and monitoring optimization models
Technologies
Python, SQL, Delta Lake, Apache Spark, Databricks, MLflow, Grafana, Elasticsearch, Google OR-Tools
Responsibilities
Build and deploy scalable ML/AI and optimization models; develop reusable framework deployments for data ingestion and analysis; identify and resolve data inconsistencies; analyze trends using learning techniques; design prescriptive scheduling pipelines; mine data for actionable insights; collaborate with partners to design robust solutions.
Seniority
Senior, hands-on IC
