Question
FULL_TIME
5-10

Senior Applied Scientist

12/14/2025

The candidate will drive the development of advanced scheduling solutions, design experiments, create benchmarks, and implement scheduling algorithms. They will also collaborate closely with research organizations to bridge the gap between research and practice.

Salary

119800 - 234700 USD

Working Hours

40 hours/week

Company Size

10,001+ employees

Language

English

Visa Sponsorship

No

About The Company
Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.
About the Role
Overview
The Field Service Scheduling team within Business & Industry Copilots (BIC) seeks a Senior Applied Scientist to help realize our vision of building a state-of-the-art scheduling service that sets the standard for our industry.
 
 
We are looking for someone who combines technical excellence with innovation and impact, and who will drive the development of advanced scheduling solutions for our customers.
 

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
The candidate should have:
 
  • Optimization experience with scheduling algorithms
  • Stay abreast of state-of-the-art approaches (including deep learning models) to address vehicle routing problems.
  • You will be a member of the product team, designing experiments, creating benchmarks and identifying success metrics, and writing production code to implement the scheduling algorithm(s) with high quality.
  • Collaborate closely with research organizations to bridge the gap between research and practice.


Qualifications

Required Qualifications: 

  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ 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 or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
    • 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. 
  • Travel: Occasional travel (0% to 25%) is expected in this role.

 

Preferred Qualifications: 

  • Master’s or PhD focus in Artificial Intelligence (Planning and Scheduling), Operations Research
    • (OR) or a related field. 
  • Background in Multi-agent Planning and Scheduling and/or Operations Research.
  • Experience running your algorithms in a production environment and responding to customer inquiries. 
  • Experience in reinforcement learning.
  • Experience in Genetic / heuristic scheduling algorithms.
  • Proven experience in solving vehicle routing problems. 
  • Demonstrated analytical abilities to dissect complex problems and propose effective solutions. 

 

#BICJOBS

 

 

 

 

 

 



 



Applied Sciences 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.

Key Skills
OptimizationScheduling AlgorithmsDeep LearningVehicle Routing ProblemsExperiment DesignBenchmarkingSuccess MetricsProduction CodeCollaborationArtificial IntelligenceOperations ResearchMulti-agent PlanningReinforcement LearningGenetic AlgorithmsHeuristic SchedulingAnalytical Abilities
Categories
TechnologyData & AnalyticsEngineeringScience & ResearchSoftware
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