Senior Data Scientist, Cloud Gaming - Prescriptive Analytics and Optimization

Overview

Our team is building an innovative Data Platform that employs advanced analytics, including prescriptive modeling and constrained optimization, for real-time routing and scheduling  platform encompasses data collection, processing, visualization, analysis, anomaly detection, root cause identification, and predictive modeling. We focus on GPU availability/lifecycle, latency measurements from end users to data centers, game performance across different GPU types, and queuing information. Our active projects apply optimization techniques to the cloud gaming experience, develop user behavior profiling, segmentation, cluster detection, personalized recommendations, lifetime value analysis, capacity management, prescriptive scheduling, and subscription churn analysis.

We also work on time‑series forecasting, decision‑making models, resource allocation, and latency minimization. Our technology stack relies on Python, SQL, Delta Lake, Apache Spark, Databricks, MLflow, Grafana, and Elasticsearch.

• Build and deploy scalable ML/AI and optimization models to enhance demand forecasting, optimize capacity allocation, and develop user‑specific feature engineering for real‑time cloud gaming services.
• Develop reusable framework deployments for data ingestion, processing, and analysis to support dynamic user interventions for targeted business outcomes.
• Acquire and apply domain knowledge of the product and software stack to identify and drive the resolution of data inconsistencies and improve model performance, especially in the context of optimization outcomes.
• Identify, analyze, and interpret trends or patterns in complex data sets using supervised and unsupervised learning techniques, informing prescriptive solutions.
• Design and implement improvements to real‑time prescriptive scheduling pipelines, using linear programming and constraint optimization, to enhance capacity utilization and user retention.
• Improve productivity by mining petabytes of data for actionable insights for business and engineering, often through prescriptive recommendations.
• Collaborate with a variety of partners to understand requirements, design robust solutions, and guide the team to deliver impactful results.
• Leverage agentic AI to deliver best‑in‑class automation and programming solutions for complex analytical problems.

• BS/MS (or equivalent experience) with 6+ years of experience or PhD in Data Science, Computer Science, Operations Research, Statistics, Applied Mathematics, or related quantitative fields, with a strong emphasis on prescriptive analytics and optimization.
• Strong background knowledge and practical experience in probability, statistics, AI/ML, prescriptive modeling, and optimization methodologies (e.g., linear programming, network flow, decision theory, and multi‑armed bandit).
• Strong coding skills, including the ability to write readable, testable, maintainable, and extensible code (primarily Python), with experience in libraries or tools relevant to optimization (e.g., Google OR‑Tools).
• Experience with common tools for data storage and processing, including handling large‑scale software across large clusters.
• Strong experience in data cleaning, aggregation, transformation, and extraction, with an understanding of how data quality impacts performance.

• Good interpersonal and presentation skills working with multiple partners, and the ability to explain intricate analytical solutions and their business implications.
• Experience in time‑series analysis and forecasting for demand prediction in optimization contexts.
• Experience in active ML production pipelines (MLflow, Kubeflow) with a focus on deploying and monitoring optimization models.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD – 287,500 USD. You will also be eligible for equity and benefits.

Applications for this job will be accepted until July 11, 2026.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Please contact us to request accommodation.