Microsoft · 8 hours ago
Applied Scientist II
Microsoft is seeking an Applied Scientist II to join the Field Service Scheduling team within Business & Industry Copilots (BIC). The role involves developing advanced scheduling solutions, optimizing scheduling algorithms, and collaborating with research organizations to bridge the gap between research and practice.
Agentic AIApplication Performance ManagementArtificial Intelligence (AI)Business DevelopmentDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
Responsibilities
Optimization experience with scheduling algorithms
Keep abreast of state-of-the-art approaches (including deep learning models) to address vehicle routing problems
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
Travel: Occasional travel (0% to 25%) is expected in this role
Qualification
Required
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
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
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
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ 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
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 vehicle routing problems or scheduling optimization (algorithms)
Experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
Experience in Genetic / heuristic scheduling algorithms
Proven experience in solving vehicle routing problems
Demonstrated analytical abilities to dissect complex problems and propose effective solutions
Company
Microsoft
Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.
H1B Sponsorship
Microsoft has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9192)
2024 (9343)
2023 (7677)
2022 (11403)
2021 (7210)
2020 (7852)
Funding
Current Stage
Public CompanyTotal Funding
$1MKey Investors
Technology Venture Investors
2022-12-09Post Ipo Equity
1986-03-13IPO
1981-09-01Series Unknown· $1M
Leadership Team
Recent News
2026-01-16
Morningstar.com
2026-01-16
Company data provided by crunchbase