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Senior Applied Scientist - M365 Copilot

Microsoft

Senior Applied Scientist - M365 Copilot

Microsoft

China, Beijing, Beijing; China, Jiangsu, Suzhou

·

On-site

·

Full-time

·

3w ago

Required Skills

Python

C#

Metrics evaluation

Large language models

Prompt engineering

Communication

Leadership

Overview As a Senior Applied Scientist specializing in Prompt Efficiency, you will be responsible for analyzing telemetry via M365 Copilot and Azure Open AI, as well as defining and validating metrics to assess prompt efficiency. You will deliver prompt efficiency metrics in both offline (shadow) and online evaluations. This position demands strong technical ownership, effective cross-team collaboration, and the aptitude to establish and apply measurement frameworks that ensure prompts in each feature are optimized for efficiency.
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- Design, develop, and validate performance metrics to assess prompt efficiency.
  • Lead the identification of dependencies and prepare documentation for evaluation methodologies and prompt efficiency metrics.
  • Ensure the accuracy and integrity of the Prompt Efficiency Scorecard.
  • Proactively identify new opportunities to enhance prompt efficiency.
  • Collaborate with feature teams, platform engineers, and leadership to establish objectives, monitor progress, and promote adoption of cost-saving initiatives.
  • Provide mentorship to junior engineers while fostering a culture dedicated to experimentation, data-driven measurement, and ongoing improvement.

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.

  • Proficient in metrics evaluation pertaining to Al products.

  • Solid coding skills in Python, C#, or similar languages.

  • Demonstrated expertise in large language models (LLMs), prompt engineering, or deployment of Al models.

  • Outstanding skills in communication, teamwork, and leadership.

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:

  • Master'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 Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
  • 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
  • Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
  • 3+ years experience conducting research as part of a research program (in academic or industry settings).
  • 1+ year(s) experience developing and deploying live production systems, as part of a product team.
  • 1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
  • Familiarity with Azure OpenAI, metrics platforms, and experimentation frameworks.
  • Experience integrating metrics into product scorecards and flight review processes.

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.

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About Microsoft

Microsoft

A software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.

10,001+

Employees

Redmond

Headquarters

$3000B

Valuation

Reviews

3.8

5 reviews

Work Life Balance

4.1

Compensation

4.3

Culture

3.4

Career

3.2

Management

3.0

65%

Recommend to a Friend

Pros

Excellent compensation and benefits package

Four-day workweek with improved work-life balance

Supportive managers and teams

Cons

High-pressure environment causing anxiety

Unprofessional interview processes

Limited creative work opportunities

Salary Ranges

5,571 data points

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Mid/L4 · Data and Applied Scientist

0 reports

$202,099

total / year

Base

$149,342

Stock

$32,252

Bonus

$20,505

$139,572

$301,212

Interview Experience

7 interviews

Difficulty

3.7

/ 5

Duration

14-28 weeks

Offer Rate

14%

Experience

Positive 14%

Neutral 29%

Negative 57%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Technical Interview

5

Onsite/Virtual Interviews

6

Final Round

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience