Stars Restaurant
Data and Applied Scientist
Stars Restaurant, Redmond, Washington, United States, 98052
Towards AI has published Building LLMs for production!Role Highlights
PythonSQLHTMLData ScienceData MiningComputer ScienceAPIProblem SolvingOperations ResearchStartupCloudInfrastructureOptimizationForecastingStatisticsLLMsQuantitativeE2ESecurityTools, Libraries and Frameworks
Description
The company operates within a start-up-like environment focused on Cloud Computing technology and the growth of Microsoft’s cloud business. The role is centered on applying advanced econometric and machine learning models to develop solutions for decision-making in data center supply chains. It emphasizes the use of data to drive insights and supports Microsoft’s commitment to an inclusive culture. The team prioritizes collaboration and innovation in their operations.Required Qualifications and Skills
Key qualifications include a Bachelor's Degree in a relevant field like Statistics or Computer Science, with varying years of related experience based on advanced degrees. The role often requires experience in statistics, predictive analytics, and research. Proficiency in coding languages such as Python, R, and SQL is necessary, along with the ability to develop statistical models and optimize decision-making processes. Candidates must also meet certain security screening requirements as detailed by Microsoft.Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesnt just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.
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PythonSQLHTMLData ScienceData MiningComputer ScienceAPIProblem SolvingOperations ResearchStartupCloudInfrastructureOptimizationForecastingStatisticsLLMsQuantitativeE2ESecurityTools, Libraries and Frameworks
Description
The company operates within a start-up-like environment focused on Cloud Computing technology and the growth of Microsoft’s cloud business. The role is centered on applying advanced econometric and machine learning models to develop solutions for decision-making in data center supply chains. It emphasizes the use of data to drive insights and supports Microsoft’s commitment to an inclusive culture. The team prioritizes collaboration and innovation in their operations.Required Qualifications and Skills
Key qualifications include a Bachelor's Degree in a relevant field like Statistics or Computer Science, with varying years of related experience based on advanced degrees. The role often requires experience in statistics, predictive analytics, and research. Proficiency in coding languages such as Python, R, and SQL is necessary, along with the ability to develop statistical models and optimize decision-making processes. Candidates must also meet certain security screening requirements as detailed by Microsoft.Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesnt just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.
#J-18808-Ljbffr