Senior Data Scientist (Edge)

Microsoft Edge is a leading web browser developed by Microsoft, dedicated to delivering a secure, efficient, and user-friendly browsing experience across various devices.
As a Data Scientist in the Microsoft Edge team, you will play a critical role in identifying opportunities in growing user adoption and engagement. This position demands a strong technical background, a passion for product development, and a commitment to improving our product.

Ideal candidates should have a Master’s or Ph.D. in Computer Science, Electrical Engineering, or a related field. They should also have strong skills in design and problem-solving, and a commitment to quality and engineering excellence at scale. They should be able to learn new techniques from textbooks or research papers and apply them to relevant business problems. Machine learning experience, especially in deep learning projects, is essential. Experience in recommendation algorithms or natural language processing is an advantage. Moreover, candidates should have strong skills in communication, collaboration, and analysis, and be able to execute effectively across team collaborations.

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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.

The candidates' goal is to increase the number of users who use our Edge browser by delivering the best browsing experience. To do this, they will need to:
- Define metrics that measure the quality of user experience and satisfaction
- Develop and apply cutting-edge machine learning models and ranking algorithms that match user intent and preferences
- Manage and improve the data and data pipeline that feed the ranking models with reliable and diverse signals
- Design and maintain a robust and scalable ranking infrastructure that can serve the ranking models efficiently and safely
- Explore new ways to enhance relevance by analyzing user data or learning from the latest research and best practices in the industry and academia