Senior Applied Scientist
3 weeks ago
Empowering Digital Experiences
Microsoft Store is a digital distribution platform that enables users to discover, download, and manage various types of applications, software, games, and other digital content on Windows devices. As a Senior Applied Scientist, you will have the opportunity to impact millions of store users, enhancing their digital experience through innovative solutions.
About the Role
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 work closely with partners, product managers, and developers to develop and review designs and business requirements. You will apply statistical concepts and techniques to analyze product quality, experiments, and user behavior, and design and develop data transformation processes for petabytes of raw data.
Responsibilities
- Collaborate with partners and drive analytic projects end-to-end.
- Develop predictive and prescriptive models using advanced research techniques.
- Communicate complex quantitative analysis in a clear, precise, and actionable manner to non-technical audiences.
- Adhere to principled data collection practices and policies.
Requirements
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field, and 4+ years of related experience, or Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field, and 3+ years of related experience, or Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field, and 1+ year of related experience.
- 5+ 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 environments.
Preferred Qualifications
- Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field, and 6+ years of related experience, or Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field, and 3+ years of related 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 is a plus.
- Engineering experience using large data systems on SQL, Hadoop, Hive queries, etc. is nice to have.
Benefits
- Industry-leading healthcare
- Educational resources
- Discounts on products and services
- Savings and investments
- Maternity and paternity leave
- Generous time away
- Giving programs
- Opportunities to network and connect
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