Data & Applied Scientist at Microsoft

Data & Applied Scientist Details

Jan. 9, 2019, 2:26 p.m.
Individual Contributor
Redmond, WA
helping Microsoft team Services Engineering builds
Core Services Engineering builds and manages the critical products and services that Microsoft runs on. We boldly pursue big ideas that power transformational advances at Microsoft and for our customers, while helping Microsoft teams work smarter, faster and more securely every day. Core Services Engineering employees have deep technical and business expertise, customer insights, and a clear point of view that comes from first-hand, large-scale experience with Microsoft and industry solutions. We are engineers, technology leaders and experts, digital transformation change agents, and customer advocates. The Data team in Shared Services (part of Core Services Engineering) is looking for a passionate, creative, analytical and experienced senior data scientist who loves big data, curious to explore and unveil insights to create a business story and reporting to impact key business decisions. Our team plays a key role in providing data and analytics within Core Services Engineering and owns

To be successful in this role, you must be driven, self-directed, entrepreneurial and focused on delivering the right results. You also need to have strong skills in written and oral communications, a can-do attitude and the willingness to tackle hard problems in innovative ways. You also thrive in a team environment that values cross team collaboration and building on the success of others. Responsibilities: Design, prototype, implement and test descriptive and predictive analytics models Work with data engineers to architect and develop operational models that run at scale Partner with teams
Knowledge, experience and skills: Bachelor's degree or higher in Statistics/Math/Computer Science or related field Experience in SQL, R, Python to implement statistical models, machine learning, and analysis (Prediction, Classification, Clustering, time series forecasting, regression models, etc.) Experience with data mining using SQL, ETL and Data Warehouses Experience on tools and systems for working with big data such as Azure, Cosmos, Hadoop, Spark Exceptional written and verbal communication to educate and work with cross functional teams Be self-driven and show ability to deliver on ambiguous
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