Data Scientist
 Microsoft | |
 United States, Washington, Redmond | |
 Oct 01, 2024 | |
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OverviewCloud Operations + Innovation (CO+I) is the team behind one of the World's largest Cloud Infrastructures, responsible for powering all Microsoft online Products and Services as well as powering Microsoft's "Cloud First" mission. Our focus is on smart growth, high efficiency, and delivering trusted experience to customers and partners worldwide, and we are looking for passionate Data Scientist professionals to help achieve that mission. If you want to have fundamental impact on how Microsoft's Cloud is deployed and operated globally, be involved with one of the most strategically important teams at Microsoft, have technical and business acumen, and leadership, creativity and out-of-the-box thinking are some of the skills you bring to the table - this job is for you! We are looking for an Data Scientist to collaborate with our data science and engineering teams to build solutions that improve our data center delivery cycle time. As a Data Scientist, you will partner with various teams to develop business requirements to standardize the business input and develop a long-term vision. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
ResponsibilitiesBusiness Management: Understands business goals of the customer, explores analytics applications, incorporates best practices in identifying growth opportunities.Data Preparation and Understanding: Assists with extract transform load (ETL), addresses data quality issues, applies the right analysis techniques and leverages the right data exploration technologies and tools (e.g., structured query language (SQL), Python, descriptive statistics, etc.). Building end-to-end Business Intelligence (BI) Solutions: Owns business customer relationship, Data Acquisition/ETL, BI reporting, Data Quality/Security aspects by adopting standard architectural standards. Business Understanding and Impact: Learns project requirements from a business perspective and assists senior leaders with project assessment, development of a project plan and actionable business insights. Coding and Debugging: Contributes to agile code development, testing/debugging, documentation and implementation to improve reliability of systems/solutions. Customer/Partner Orientation: Leverages data science and assists with interpreting results, develops insights, and communicates results to customers. Evaluating for Insight and Impact: Creates models to achieve business objectives, analyzes model performance and incorporates customer feedback into model evaluation. Modeling and Statistical Analysis: Incorporates various modeling techniques (e.g., linear/logistic regression, decision-tree, etc.) and contributes to the research, identification, prototyping, and productizing of machine learning (ML) / artificial intelligence (AI) techniques and algorithms. Problem Solving: Possesses problem-solving skills to help refine problem statements and solve them with the available data. | |