Senior Data Scientist, Cloud Gaming – Prescriptive Analytics and Optimization

🕒 July 16

🏄 California – Remote

🏄 California – Remote

💵 $184k - $287.5k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Build and deploy scalable ML/AI and optimization models for demand forecasting, capacity allocation, and user-specific feature engineering in real-time cloud gaming services • Develop reusable frameworks for data ingestion, processing, and analysis supporting dynamic user interventions and targeted business outcomes • Apply product and software-stack knowledge to identify and resolve data inconsistencies and improve model performance, particularly optimization outcomes • Identify, analyze, and interpret trends and patterns in complex datasets using supervised and unsupervised learning to inform prescriptive solutions • Design and implement improvements to real-time prescriptive scheduling pipelines using linear programming and constraint optimization • Mine petabytes of data for actionable insights and prescriptive recommendations for business and engineering • Collaborate with partners to understand requirements, design robust solutions, and guide delivery of impactful results • Leverage agentic AI for automation and programming solutions to complex analytical problems

🎯 Requirements

• 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 • Strong emphasis on prescriptive analytics and optimization • Practical experience in probability, statistics, AI/ML, prescriptive modeling, and optimization methodologies, including linear programming, network flow, decision theory, and multi-armed bandit • Strong coding skills, primarily Python, including readable, testable, maintainable, and extensible code • Experience with optimization libraries or tools such as Google OR-Tools • Experience with data storage and processing tools and running large-scale software across large clusters • Strong experience in data cleaning, aggregation, transformation, and extraction • Understanding of how data quality impacts performance

🏖️ Benefits

• Equity • Benefits • Reasonable accommodation for individuals with disabilities during the application/interview process, essential job functions, and receipt of employment benefits and privileges