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Senior Applied Scientist- Microsoft Excel team

Do you want to be part of a team which delivers innovative AI features across flagship products? Does the opportunity to join a fast-paced, high-visibility, diverse team in a highly competitive market sound exciting to you? If so, the **Microsoft Excel team** has great opportunities for you.

We are seeking a **Senior Applied Scientist** with direct experience shipping at-scale intelligent systems. You will architect, design and ship intelligent systems assisting users writing code for Microsoft Excel using state-of-the-art techniques in large language models, deep learning, program synthesis and information retrieval. You will collaborate with world-class engineers in a fast-paced, dynamic and learning-oriented environment, creating AI applications that solve real-world problems for customers around the world.

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

+ Conduct rigorous analysis to evaluate the performance of intelligent applications, identify areas for improvement, and iterate.

+ Executing projects from design through implementation, experimentation and finally shipping to our users.

+ Integrate experiments into production systems by implementing them and maintaining and optimizing their performance.

+ Understand broad areas of research and techniques, as well as a knowledge of industry trends to apply this in the product.

+ Prepare data for analysis by applying quality and technical constraints. Review data and suggest data to be included and excluded and address data quality problems.

+ Assist with the development of usable datasets for modeling purposes and support the scaling of product ideas.

+ Embody our culture and values.

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, shipping features to users)

+ 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, shipping features to users)

+ 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, shipping features to users)

+ OR equivalent experience.

+ 1+ years' experience in applying machine learning techniques and driving end-to-end AI product development.

+ 1+ years working with Large Language Models.

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 4+ years related experience (e.g., statistics predictive analytics, shipping features to users)

+ 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, shipping features to users)

+ 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, shipping features to users)

+ OR equivalent experience.

+ 4+ years' experience in applying machine learning techniques and driving end-to-end AI product development.

+ Demonstrated ability to work effectively end-to-end in a challenging technical problem domain (plan, design, execution, continuous release, and service operation).

+ Experience with shipping internet scale, low latency and high availability.

+ Experience with Microsoft Excel.

+ Experience with python programming.

+ Experience with Applications of Foundation Models, Domain Adaptation of Foundation Models (e.g. fine-tuning LLMs/SLMs).

+ Experience with Prompt optimizations, Data Mining with language models, Agentic systems.

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

Microsoft will accept applications for the role until November 18, 2025.

Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .