The successful candidate is a self-motivated technical leader who can deal with complex problems without supervision. She/he is a curious person in finding patterns and insights in massive unknown data sets.
The successful candidate is a self-motivated technical leader who can deal with complex problems without supervision. She/he is a curious person in finding patterns and insights in massive unknown data sets. She/he needs to help define and design the first generation of Big Data analytics platform use cases.
The Information Protection team is responsible for key areas o365. Managing features in Exchange & Sharepoint products including the full SMTP pipeline, antispam, antimalware, messagetrace and reporting.
Analyze forecasting metrics to uncover trends and find root causes of forecast inaccuracy. Provide business feedback to guide the Forecasting Science, Product Management and Software Development teams.
Utilize statistical natural language processing to mine unstructured data, and create insights; analyze and model structured data using advanced statistical methods and implement algorithms and software needed to perform analyses.
Build positive, productive relationships with key business partners to develop a deep understanding of their information needs and deliver analytics that meet and anticipate those needs. Key business partners include SCCA executives, directors and managers, providers, administration staff, clinical care staff, and outside agencies or institutions.
The Data Scientist provides collaborative and innovative analytic support across all divisions of the center, leveraging big data to support and empower center investigators. The Data Scientist will be responsible for construction of analytic datasets sourcing elements from potentially diverse data sources, implementation of exploratory and predictive analyses, visualization of data, and communication and presentation of results.
Work with customers and internal stakeholders to define hypotheses and models. We are dealing with all aspects of Business-to-Business sales and marketing problems and first to apply data science to them.