Applied Scientist at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

08 Apr, 26

Salary

199000.0

Posted On

08 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistics, Predictive Analytics, Research, Data Strategy, AI, Predictive Models, Optimization Algorithms, Causal Inference, Product Performance, Ethics, Privacy Policies, Documentation, Innovation, Collaboration, Problem Solving, Market Insights

Industry

Software Development

Description

Overview Microsoft is a company where passionate innovators come to collaborate, envision what can be, and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world. The Business & Industry Copilots group is a rapidly growing organization responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solutions, 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. We are looking for an Applied Scientist to join our team—Power Platform Core! This is an exciting time to join our group and work on growing our Power Apps and Power Automate business while transforming existing apps with AI. You will help shape our data strategy to inform product decisions, drive investment portfolio, and identify new growth areas. The data scientist will partner with our engineering teams to solve complex problems at scale while doing so with impeccable quality. 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 Develop and expand expertise in one or more subareas of research and understand applicable research techniques. You’ll also gain deep knowledge of a service, platform, or domain, and become familiar with the latest industry trends and applied technologies. Leverage data focused on developing product growth strategy, data informed product decisions, leveraging AI and creating self-service solution for PM and SWE to leverage Build predictive models, optimization algorithms, and causal inference frameworks to inform strategic decisions, customer and market insights along with product performance. Decelop, perform, and optimize AI feature evaluation process for new Power Platform products and features for both ext and multimodal scenarios You will document work in progress and share findings to promote innovation within a group. You’ll also learn and follow ethics and privacy policies while executing research processes or collecting information. Qualifications Required Qualification(s): Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience. 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: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, OR related field AND 5+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, OR related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical. 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers). #BICJobs Applied Sciences 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 Applied Scientist will develop expertise in research areas and leverage data to inform product growth strategies. They will build predictive models and optimize AI feature evaluation processes for Power Platform products.