Senior Data Scientist

**Overview** What a time to join Microsoft! The Office of the Chief Economist works across the company to pursue commercial value using economics and data science. Examples of our work include algorithms that grow Microsoft’s cloud revenue and resource efficiency; some of the first-ever studies of how AI changes the way that people work; and market design for software resellers. We are looking for a **Senior Data Scientist** with broad technical skills, business acumen, and a player-coach attitude. You will work alongside world-class colleagues on high-visibility projects answering some of Microsoft’s most pressing challenges. You will work directly with business partners to identify opportunities. Your initial first project will involve building algorithmic support for our deal teams, using machine learning, experimentation, and good old-fashioned analytics. This is an opportunity to rethink, build, and operate internal processes and software. Successful candidates can dive deep into sophisticated modeling approaches when needed; but more importantly, they know when a simple and pragmatic solution will do just as well, and they know how to inspire the same in others. They know how to tell good stories through data, how to visualize, and how to use many fast iterations in the face of ambiguous problems. Our team values entrepreneurship, craftsmanship, and continuous learning. You will be able to shape and grow a positive and productive data science culture. 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. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. **Responsibilities** **Responsibilities** + Understand business needs and develop appropriate data analysis to meet those needs including pipelining, exploratory data analysis, modeling, inference, and experimentation. + Collaborate with senior economists to solve some of Microsoft’s most pressing issues, delivering tangible commercial value. + Together with your team, interpret and present analysis results to senior stakeholders. + Coach more junior team members, promoting a culture of learning and evangelizing modern data science methods. + Build a robust product that makes data, econometrics, and ML useful for deal teams in the field.Embody our culture and values . **Qualifications** **Required/minimum qualifications** + 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. **Additional or preferred qualifications** + 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. + 1+ year of experience in preparing and executing analysis plans, evaluating various statistical methods (ML, causal inference, classical methods) and choosing the most appropriate approaches given business requirements. + 1+ year of industry experience in python and R and data query systems such as SQL or Spark, and management platforms such as Fabric, Databricks, SQL Server or Cosmos. + 1+ year of industry experience working with cross-functional teams, gathering requirements, and building requirements into analysis plans. + 1+ year of experience with MLops, running Production-grade ML systems and experience with Sales processes. + 1+ year of engineering experience in a modern cloud stack, including serverless methods and demonstrated experience leveraging your skills using AI. Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. (https://careers.microsoft.com/v2/global/en/accessibility.html)