Data Scientist II at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

21 Mar, 26

Salary

199000.0

Posted On

21 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Statistical Modeling, Experimentation, Python, SQL, Data Analysis, Data Quality, Predictive Insights, A/B Testing, Dashboard Development, Cross-Functional Collaboration, Analytics, Platform Performance, Reliability, Cost Efficiency

Industry

Software Development

Description

Overview Microsoft is a company where innovators come to collaborate. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world. The Business and Industry Copilots group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered. This is an exciting time to join our group and work on something highly strategic to Microsoft. Microsoft Dataverse and the Power Platform Managed Platform provide secure, scalable, and cost-efficient foundations for building AI-powered, governed, and compliant applications at global scale. This team builds platform capabilities and microservices that deliver global scale, security, governance, and managed runtime for customers across Power Platform. You will be part of a team of engineers who thrive on solving complex problems at scale with impeccable quality. We are looking for a Data Scientist II to join the Managed Platform team, which provides the foundation for global scale, security, governance, and compliance across Power Platform and Dataverse. In this role, you will apply data science techniques to improve platform reliability, optimize performance, and enable AI-driven insights that shape the future of enterprise applications. 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. Responsibilities Build and deploy machine learning models and statistical analyses to improve platform performance, reliability, and cost efficiency. Partner with engineering teams to integrate predictive insights into distributed systems and services. Design and analyze experiments (e.g., A/B tests) to validate hypotheses and measure impact on customer experience and platform health. Develop dashboards and metrics to monitor model performance and service health. Communicate findings and recommendations to technical and business stakeholders through clear, actionable insights. Collaborate with cross-functional teams to ensure data quality and effective use of analytics in decision-making. Qualifications Required Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master's Degree 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 consulting experience OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. 2+ years of experience in data science, analytics, or related areas. 2+ years of experience in applied machine learning, statistical modeling, and experimentation. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred 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. Proficiency in Python for data analysis and model development. Experience with SQL and working with large datasets. Additional Details #BICJobs Data Science IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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

The Data Scientist II will build and deploy machine learning models to enhance platform performance and reliability. They will also partner with engineering teams to integrate predictive insights and design experiments to measure impact on customer experience.