Paul Davis Restoration of Greenville and Spartanburg
Sr. Data Scientist, Analytics & Insights
Paul Davis Restoration of Greenville and Spartanburg, Santa Clara, California, us, 95053
Sr. Data Scientist, Analytics & Insights
Amazon
Published 28 Aug 2024Share this job
Santa Clara, CA, USA$143300-$247600 annually.Full TimeRole Highlights
SQLPythonMATLABData ScienceData MiningLogistic RegressionComputer ScienceCustomer SuccessData StructuresWeb ServicesTransformationETLForecastingQuantitativeStatisticsDataSetsOperationsCloudStartupMathematicsEconomicsScriptingAITools, Libraries and Frameworks
AWSSASTableauDescription
The AWS Global Deal Strategy and Programs (GDSP) organization focuses on the Private Pricing Program, where data science and analytics play a crucial role. This role involves building scalable analytical solutions that provide actionable insights to support data-driven decision-making. The team’s efforts include data extraction, transformation, and building models that forecast and predict business outcomes. Additionally, collaboration across diverse teams is essential to solve complex data problems while ensuring effective communication of insights.Required Qualifications and Skills
A Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science is required. Candidates must have at least five years of experience with data querying languages and scripting languages, alongside a strong background in data analysis and statistical modeling. Experience with statistical models and the ability to effectively communicate technical information is essential. Preferred qualifications include experience in data visualization tools and managing data pipelines, as well as leadership abilities on a data science team.Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.Share & Disclaimer
Share this job
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.
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Amazon
Published 28 Aug 2024Share this job
Santa Clara, CA, USA$143300-$247600 annually.Full TimeRole Highlights
SQLPythonMATLABData ScienceData MiningLogistic RegressionComputer ScienceCustomer SuccessData StructuresWeb ServicesTransformationETLForecastingQuantitativeStatisticsDataSetsOperationsCloudStartupMathematicsEconomicsScriptingAITools, Libraries and Frameworks
AWSSASTableauDescription
The AWS Global Deal Strategy and Programs (GDSP) organization focuses on the Private Pricing Program, where data science and analytics play a crucial role. This role involves building scalable analytical solutions that provide actionable insights to support data-driven decision-making. The team’s efforts include data extraction, transformation, and building models that forecast and predict business outcomes. Additionally, collaboration across diverse teams is essential to solve complex data problems while ensuring effective communication of insights.Required Qualifications and Skills
A Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science is required. Candidates must have at least five years of experience with data querying languages and scripting languages, alongside a strong background in data analysis and statistical modeling. Experience with statistical models and the ability to effectively communicate technical information is essential. Preferred qualifications include experience in data visualization tools and managing data pipelines, as well as leadership abilities on a data science team.Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.Share & Disclaimer
Share this job
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.
#J-18808-Ljbffr