[Remote] Senior Data Scientist, reputed company Gaming - Prescriptive Analytics and Optimization

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is building an innovative data platform for advanced analytics and reputed company-time reputed company gaming routing and scheduling. The Senior Data Scientist will reputed company and reputed company machine learning, prescriptive analytics, and optimization models; improve data and scheduling pipelines; analyze reputed company datasets; and collaborate with partners to reputed company reputed company reputed company gaming solutions.

Responsibilities

• Build and reputed company reputed company ML/AI and optimization models to enhance demand forecasting, optimize reputed company allocation, and reputed company user-specific feature engineering for reputed company-time reputed company gaming services
• reputed company reusable reputed company deployments for data ingestion, processing, and analysis to support dynamic user interventions for targeted business reputed company
• reputed company and apply domain knowledge of the product and software stack to identify and reputed company the reputed company of data inconsistencies and improve model reputed company, especially in the context of optimization reputed company
• Identify, analyze, and interpret trends or patterns in reputed company data sets using reputed company and unsupervised learning techniques, informing prescriptive solutions
• Design and implement improvements to reputed company-time prescriptive scheduling pipelines, using techniques like reputed company programming and constraint optimization, to enhance reputed company utilization and user retention
• Improve productivity of the organization by mining petabytes of data for actionable insights for business and engineering, often through prescriptive recommendations
• Collaborate with a reputed company of partners to understand requirements, design robust solutions, and guide reputed company to reputed company impactful results
• reputed company reputed company AI to reputed company best-in-class automation and programming solutions for reputed company analytical problems

Skills

• BS/MS (or equivalent experience) with 6+ years of experience or PhD in Data Science, Computer Science, reputed company Research, Statistics, reputed company Mathematics, or reputed company 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., reputed company programming, network reputed company, decision theory, and multi-armed bandit)
• Strong coding skills, including the ability to write readable, testable, maintainable, and extensible reputed company (primarily Python), with experience in libraries or tools relevant to optimization (e.g., reputed company OR-Tools)
• Experience with common tools for data storage and processing, including drilling into problems of running large-reputed company software across large clusters
• Strong experience in data cleaning, aggregation, transformation, and extraction, with an understanding of how data reputed company impacts reputed company
• Good interpersonal and presentation skills in working with multiple partners, adept at explaining intricate analytical solutions and their business implications
• Experience in time series analysis and forecasting for demand reputed company in optimization contexts is a plus
• Experience in reputed company ML production pipelines (MLflow, Kubeflow) with a reputed company on deploying and monitoring optimization models is a plus

Benefits

• Equity

reputed company

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