Principal Data Scientist at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

16 Mar, 26

Salary

274800.0

Posted On

16 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Statistical Techniques, Python, SQL, Spark, MLOps, Econometrics, Data Visualization, Coaching, Collaboration, Algorithm Development, Sales Processes, Continuous Learning, Analytical Skills, Business Acumen

Industry

Software Development

Description

Overview What a time to join Microsoft! The Office of the Chief Economist, Corporate Vice President, 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 Artificial Intelligence (AI) changes the way that people work; and market design for software resellers. We are looking for a Principal Data Scientist with broad technical skills, business acumen, and a tech lead 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, and you will help your team prioritize them. You will be a coach to developing colleagues, and you will set standards and good practices. Your initial focus will involve building algorithmic support for our deal teams, using machine learning (ML), experimentation, and good 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. We value 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. 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 Take the lead in your project’s technical and scientific decisions. Coach colleagues across developing experience levels, and raise the bar for the team. Present your work to business leaders. Together with the team, innovate a state-of-the-art algorithmic discounting system to support our Sellers. 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 machine learning 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 5+ 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 7+ 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 10+ 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 8+ 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 10+ 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 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. 5+ years of experience in preparing and executing analysis plans, evaluating various statistical methods (machine learning, causal inference, classical methods) and choosing the most appropriate approaches given business requirements. 5+ years of industry experience in python, and with data query systems such as SQL or Spark, and management platforms such as Fabric, Databricks, SQL Server or Cosmos. 3+ year of experience with MLops, running Production-grade ML systems. Experience with Sales processes. Demonstrated experience leveraging your skills using AI. Data Science IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 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 $188,000 - $304,200 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.

Responsibilities

Lead technical and scientific decisions for projects and coach colleagues at various experience levels. Collaborate with economists to deliver commercial value and innovate algorithmic systems.