Senior Applied Scientist

Overview
Microsoft Store is a digital distribution platform developed by Microsoft on Windows Desktop. It serves as a centralized hub for users to discover, download, and manage various types of applications, software, games, and other digital content. The vision of the Microsoft Store aligns with Microsoft's broader mission to empower individuals and organizations to achieve more through technology. The store aims to provide users with a convenient and secure platform to access a diverse range of high-quality digital content that enhances productivity, creativity, and entertainment on Windows devices.
We are seeking a motivated and strategic-thinking Senior Applied Scientist to join the Microsoft Store China team in Suzhou or Beijing. In this role, you will have the opportunity to impact millions of store users, enabling them to enjoy a diverse array of benefits and features that elevate their digital experience.
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.
Responsibilities
- Work with partners, product managers and developers to develop & review designs and business requirement.
- Optimize algorithms for various locations, including homepage, "People Also View," and Start Menu, focusing on models such as click-through rate, conversion rate prediction, user interest, cold start strategies, and app tag generation.
- Participate in the development and production experiment of models, continuously optimizing their performance.
- Maintain production models and enhance model iteration efficiency and robustness through engineering optimizations.
- Research and explore cutting-edge theories and technologies for recommendation.
- Design & develop data transformation processes for petabytes of raw data, perform feature engineering for machine learning.
- Adhere to principled data collection practices and policies.
Qualifications
Required Qualifications:
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research). OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research). OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND - 1+ year(s) related experience (e.g., statistics, predictive analytics, research). OR equivalent experience.
- 4+ years of experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
- 3+ years of industry experience with implementing statistical models, machine/deep learning, and analysis (Recommenders, Prediction, Classification, Clustering, etc.) in big data environment.
Other Requirements:
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications:
- Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research). OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) . OR equivalent experience.
- Experience with experiments, machine learning, anomaly detection, predictive analysis, exploratory data analysis, and/or other areas of data science on a large-scale product.
- Experience with languages like C#/Java.
- Engineering experience using large data systems on SQL, Hadoop, Hive queries, etc..