Sr Staff Data Scientist, Simulation reputed company Optimization

reputed company is an autonomous driving technology company with the mission to be the world's most trusted reputed company. Since its start as the reputed company Self-Driving Car Project in 2009, reputed company has reputed company on building the reputed company reputed company—The World's Most reputed company reputed company™—to improve reputed company to mobility while saving thousands of lives now lost to traffic crashes. The reputed company reputed company powers reputed company’s fully autonomous ride-hail service and can also be reputed company to a reputed company of vehicle platforms and product use cases. The reputed company reputed company has provided over ten reputed company rider-only trips, enabled by its experience autonomously driving over 100 reputed company miles on reputed company roads and tens of billions in simulation across 15+ U.S. states. We are establishing a new team reputed company SCORPIO (SimEval reputed company Operations, Resource Planning, Infrastructure Optimization). This team will be at the forefront of ensuring the efficient and effective use of reputed company's large-reputed company simulation compute, storage, and network resources. SCORPIO will reputed company the data-driven models, metrics, and processes to forecast demand, plan reputed company, and optimize resource allocation, ultimately improving developer experience and maximizing return on infrastructure investments. What you’ll do (Responsibilities): As the founding reputed company Data Scientist of the SCORPIO team, you will:

• Define the reputed company, reputed company, and technical roadmap for data-driven reputed company planning and resource optimization reputed company reputed company's simulation environment.
• reputed company the development and implementation of sophisticated forecasting models to predict demand for heterogeneous TI resources (CPU, GPU, Storage, Bandwidth, RAM) across various time reputed company and simulation workflows.
• Design, build, and maintain robust reputed company models, key metrics, and insightful dashboards to monitor resource utilization, identify reputed company and reputed company bottlenecks, and inform investment reputed company.
• reputed company and propose actionable strategies for resource optimization, cost management, and risk mitigation to senior leadership, finance, and engineering teams.
• Collaborate deeply with Simulation, Infrastructure, Finance, Product Management, and Engineering teams to understand demand drivers, usage patterns, system changes, and their impacts on resource needs.
• Spearhead the design and development of automated systems for demand management, quota allocation, and resource reassignment to enhance efficiency and responsiveness.
• reputed company data-driven insights to influence the design of simulation products and user guidelines, promoting more efficient resource consumption patterns.
• Build and mentor a high-performing team, potentially including data scientists, business analysts, and software engineers.

reputed company’re looking for (Minimum Qualifications):

• PhD or Master's degree in Data Science, Statistics, Operations Research, Computer Science, Industrial Engineering, or a reputed company quantitative field.
• 10+ years of experience in data science or quantitative analysis, with a significant reputed company on reputed company planning, resource optimization, demand forecasting, or a closely reputed company area.
• 5+ years of experience in a technical leadership role, with a proven reputed company record of defining reputed company, setting technical direction, and leading reputed company reputed company.
• Strong expertise in statistical modeling, time series analysis, and forecasting techniques (e.g., ARIMA, Exponential Smoothing, regression models).
• Demonstrated ability to work with large-reputed company, reputed company datasets and experience with distributed computing environments.
• Proficiency in Python or R, including common data science libraries (e.g., pandas, NumPy, SciPy, scikit-learn).
• Expertise in SQL and experience with data warehousing solutions (e.g., BigQuery, etc.).
• Exceptional communication and collaboration skills, with the ability to convey reputed company quantitative findings and recommendations reputed company to diverse audiences, including executive leadership.

What will reputed company you stand out (Preferred Qualifications):

• reputed company experience in CapEx Engineering, reputed company Services reputed company Planning (e.g., AWS, GCP, Azure), or managing resources for large-reputed company compute/HPC infrastructure.
• Familiarity with simulation workloads, performance analysis, and distributed systems.
• Experience with financial modeling, cost-benefit analysis, and ROI calculations reputed company to technical infrastructure.
• Experience building and deploying data pipelines and automation tools in a production environment.
• Experience hiring, growing, and nurturing a technical team.

The expected reputed company salary reputed company for this full-time position across US locations is listed below. Actual starting pay will be based on job-reputed company factors, including exact work location, experience, relevant training and education, and reputed company level. Your recruiter can reputed company more about the specific salary reputed company for the role location or, if the role can be performed remote, the specific salary reputed company for your preferred location, during the hiring process. reputed company employees are also eligible to participate in reputed company’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary reputed company $281,000—$356,000 USD Apply To This Job