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Position: Senior Data & Applied Scientist - Calling and Meetings Data
Institution: Microsoft Corporation
Location: Tallinn, Estonia
Duties: Drive independent investigations and experimentations, for example A/B testing; Apply machine learning models to improve existing and develop new algorithms to improve Skype/Teams real-time collaboration quality and reliability; Ship high-quality, well-tested, secure, and maintainable code; Design, develop, and maintain data science pipelines and tools; Work collaboratively and communicate effectively with a small, motivated team of engineers and product managers; Experiment with and recommend new technologies that simplify or improve the tech stack
Requirements: Masters or Ph.D in Mathematical Statistics, Computer Science, Mathematics, Physics, Electrical Engineering, or equivalent; Professional experience in ML/AI techniques; Architecting, building, and maintaining end-to-end, high-throughput data systems and their supporting services; Designing data systems that are secure, testable, and modular, particularly in Python
   
Text: We use cookies to improve your experience on our websites and for advertising. Privacy Statement Skip to main content Microsoft Microsoft 365 Office Windows Surface Xbox Deals Support Careers Students and graduates Saved jobs - Senior Data & Applied Scientist - Calling and Meetings Data Tallinn, Harjumaa, Estonia Save save Senior Data & Applied Scientist - Calling and Meetings Data to job cart Job number 1264127 Date posted Feb 11, 2022 Travel None Profession Engineering Role type Individual Contributor Employment type Full-Time Microsoft Development Center Estonia, with Offices in Tallinn and Tartu, is part of the Experiences & Devices division within Microsoft and well known for its Skype history. Today, our focus is much broader: We are building the Intelligent Conversations & Communications Cloud (IC3) which powers communication services for millions of Microsoft customers around the world across products such as Skype, Skype for Business, Microsoft Teams, Xbox, Windows, Azure and more. Our IC3 platform is one of the largest Azure deployments worldwide and growing rapidly. We own many large-scale applications in Estonia: from real-time communications, engineering systems to commerce, payments, anti-fraud and SMS. Together with partner teams across Microsoft we build and run an intelligent fabric of communication services to empower every person and organization to achieve more.  We develop highly scalable and reliable backend services running on Azure, supporting millions of Microsoft customers every day.  Microsoft Development Center Tallinn offers an enthusiastic, high paced work environment where you can impact millions of users around the world. We are open minded, diverse and work flexible hours. You can look forward to an attractive work environment, state of the art benefits and the latest hardware and software in daily use. We are also focusing on your personal and professional development within MDCE and beyond.  https://sway.office.com/KfODVQeV1EL50Axm?ref=Link  About the team and role Are you passionate about leveraging large volumes of data sets to draw deep insights designed to improve business strategies and customer experience? Currently our team owns generating critical Business Reports, Near-Real Time Operational Insights and Anomaly Detection for Microsoft’s first-party real-time conversation products, notably Skype and Teams with many millions of users, to operate with reliable and high-quality audio and video calling, meetings, and chat services that work every time, from anywhere, on any device. Responsibilities Drive independent investigations and experimentations, for example A/B testing. Apply machine learning models to improve existing and develop new algorithms to improve Skype/Teams real-time collaboration quality and reliability. Ship high-quality, well-tested, secure, and maintainable code. Design, develop, and maintain data science pipelines and tools. Work collaboratively and communicate effectively with a small, motivated team of engineers and product managers. Experiment with and recommend new technologies that simplify or improve the tech stack. Qualifications Basic Qualifications:  Masters or Ph.D in Mathematical Statistics, Computer Science, Mathematics, Physics, Electrical Engineering, or equivalent. Professional experience in ML/AI techniques. Architecting, building, and maintaining end-to-end, high-throughput data systems and their supporting services. Designing data systems that are secure, testable, and modular, particularly in Python. Preferred Qualifications: Strong communication skills to explain insights in an understandable way to non-experts, in both formal presentations and informal group conversations. Experience working with large data sets using SQL/Azure Data Lake/Spark, etc., to derive actionable insights is highly desirable. Developing for continuous integration and automated deployments. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work. Benefits and Perks Industry leading healthcare Savings and investments Giving programs Educational resources Maternity and paternity leave Opportunities to network and connect Discounts on products and services Generous time away Resources Accessibility support Frequently asked questions Interview tips Search more jobs Save save Senior Data & Applied Scientist - Calling and Meetings Data to job cart Get personalized job recommendations Sign in or create a profile and we'll let you know when there's a match. Life at Microsoft Microsoft employee sitting in chair Culture We’re working together to build strong communities inside and outside the workplace. 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