Microsoft is hiring Data Scientist.
We are looking for a strong Data Scientist with a proven track record of solving large, complex data analysis and machine learning problems in a real-world customer focused setting. The ideal candidate should be able to identify a business or engineering problem, translate it to a data science project, determine sources of data, conduct the analysis that will reveal actionable insights, and develop/operationalize models that enable new capabilities and scenarios for our customers and partner teams.
Responsibilities
- Work with management and stakeholders, identify opportunities for data science to make an impact, and formulate these opportunities to data science projects.
- Identifies data sources, integrates multiple sources or types of data, and applies expertise within a data source to develop methods to compensate for limitations and extend the applicability of the data
- Applies (and develops if necessary) tools and pipelines to efficiently collect, clean, and prepare massive volumes of data for analysis
- Transforms formulated problems into implementation plans for experiments by applying (and creating when necessary) the appropriate data science methods, algorithms, and tools, and then statistically validating the results against biases and errors
- Interprets results and develops insights into formulated problems within the business/customer context and provides guidance on risks and limitations
- Acquires and uses broad knowledge of innovative methods, algorithms, and tools from within Microsoft and from the larger scientific community, and applies his or her own analysis of scalability and applicability to the formulated problem
- Validates, monitors, and drives continuous improvement to methods, and proposes enhancements to data sources that improve usability and results
Qualifications
- M.S. (Ph.D. Preferred) in Computer Science, Statistics, Operations Research or similar quantitative field
- Solid foundation of machine learning algorithms (classification, regression, clustering, time series forecasting, recommender system, text analytics). Experience with deep learning is a plus.
- Working experience in applying machine learning to one or more of the following fields (forecasting, text analytics, customer CRM, transactional analytics, etc).
- Deep understanding of big data systems, including Spark, Hadoop, Azure Data Lake, Cosmos, Azure SQL, etc.
- Expert in one or more machine learning platforms, such as R, Python, Azure ML
- Expert in one or more scripting languages, such as R, Python, SQL, C++, etc
- Experience building data pipelines to operationalize end-to-end solutions
- 2+ years of applying statistical modeling and machine learning algorithms to real world problems