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- Create, build and bring your own ideas to market using your insights from data analysis
- Leverage your analytics and coding superpowers to create new pricing and revenue optimization features, offers and concepts for customers
- Have a meaningful impact on Azure's revenue growth and customer satisfaction
- Develop innovative solutions for pricing and revenue optimization using AI and machine learning techniques
- Learn from and collaborate with some of the best data scientists in the industry
- Grow your own experience and career in a supportive and respectful environment
- Designing, implementing, and maintaining data pipelines using Azure Data Factory, Azure Databricks, Azure Synapse Analytics, etc.
- Performing exploratory data analysis using Azure Machine Learning Studio, Azure Data Lake Analytics, etc.
- Building predictive models using Azure Machine Learning Service, Azure Cognitive Services, etc.
- Evaluating model performance using appropriate metrics and techniques
- Deploying models to production using Azure DevOps, Azure Kubernetes Service, etc.
- Generating insights and reports using Power BI, SQL Server Reporting Services, etc.
- Identifying opportunities for monetization and revenue optimization using data mining techniques
- Conducting A/B testing and experimentation to measure the impact of different pricing strategies
- Communicating complex data findings in a clear and concise manner to technical and non-technical audiences
- Creating and building data-driven solutions for yield management using Azure cloud services and tools
- Analyzing data and generating insights to create new pricing and revenue optimization features, offers and concepts for customers
- Having a meaningful impact on Azure's revenue growth and customer satisfaction
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.
- 5+ years experience in Python/R/SQL or other programming languages for data analysis
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.
- Familiar with Azure cloud services and tools for data science
- Experience with machine learning frameworks
- Experience with web analytics and marketing analytics
- Experience with monetization/revenue optimization techniques such as pricing optimization/demand forecasting/recommendation systems etc.
Senior Data Scientist - San Francisco, CA, United States - Microsoft
![Microsoft background](https://contents.bebee.com/companies/us/microsoft/background-OBSIE.png)
Description
Are you a data scientist who wants to shape the future of Azure? Do you have a passion for solving complex business problems with data-driven solutions? Do you want to join a team that values diversity, inclusion, collaboration and innovation? If so, we have an exciting opportunity for you
We are the Revenue Optimization and Applied Data Science (ROADS) team within the Azure Monetization & Business Planning organization. We are responsible for leading revenue efficiency efforts for one of the most important and significant areas of Microsoft. We use Azure cloud services and tools to define and execute our revenue optimization strategy pillars and drive the supporting data strategy. We also work closely with other data scientists, business planners, economists, marketing, and executives to align our revenue optimization and data initiatives with our business goals and vision. As a Senior Data Scientist on our team, you will have the opportunity to: