What are the responsibilities and job description for the Data Scientist position at Microsoft AI?
Overview
A unique opportunity to join Bing Search, a global search engine powering billions of searches daily, both from humans and from Large-Language Models
The Bing Metrics team is looking for passionate Data scientist to work on the new generation of metrics and quality control for the Bing Grounding API. The team ensures that Bing returns high-quality, error-free, and authoritative results using a variety of different approaches. Our team builds complex pipeline including crowd judging and machine learning steps to verify our suspicions. Now, we actively use LLMs like ChatGPT as a judge to evaluate the quality of search results at multiple levels: query, answer, whole page and generate insights for the teams who are responsible this experience.
As a part of an international and distributed team you will be responsible for RAG quality metrics within Bing Search. The job provides you with the opportunity to work with multiple teams across entire Bing (>80 different teams) and greatly influence the search engine relevance and search result quality of the entire platform. We are an established core team in Bing with very high visibility and impact.
We are looking for a talented engineer/DS with a passion to work with LLM and specifically RAG, design, implement and test complex data pipelines built on top of LLM models, create new tools for running multi-step prompts to evaluate search engine quality and generate actionable insights for the teams.
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.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
Required Qualifications:
Data Science 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.
A unique opportunity to join Bing Search, a global search engine powering billions of searches daily, both from humans and from Large-Language Models
The Bing Metrics team is looking for passionate Data scientist to work on the new generation of metrics and quality control for the Bing Grounding API. The team ensures that Bing returns high-quality, error-free, and authoritative results using a variety of different approaches. Our team builds complex pipeline including crowd judging and machine learning steps to verify our suspicions. Now, we actively use LLMs like ChatGPT as a judge to evaluate the quality of search results at multiple levels: query, answer, whole page and generate insights for the teams who are responsible this experience.
As a part of an international and distributed team you will be responsible for RAG quality metrics within Bing Search. The job provides you with the opportunity to work with multiple teams across entire Bing (>80 different teams) and greatly influence the search engine relevance and search result quality of the entire platform. We are an established core team in Bing with very high visibility and impact.
We are looking for a talented engineer/DS with a passion to work with LLM and specifically RAG, design, implement and test complex data pipelines built on top of LLM models, create new tools for running multi-step prompts to evaluate search engine quality and generate actionable insights for the teams.
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.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
- Design and implement metrics for RAG with Bing Web Search and other APIs.
- Build pipelines and dashboards for Bing Grounding quality.
- Use LLM models in LLM-as-a-judge settings for data evaluation.
- Engineer prompts for textual and multi-model LLMs for data processing and generation of insights.
- Design and implement E2E pipelines (from sampling anomalies from the logs through prompt engineering to ultimately automatically updatable dashboards).
- Apply classical ML (feature engineering model training, text and image embeddings) along with LLM to augment data analysis and processing pipelines.
- Help teams to build new innovative search experience with Bing.
Required Qualifications:
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
- OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1 year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience
- OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2 years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1 year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3 years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5 years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.
- 5 years of C#, Python, Java or any other major programming language.
- 3 years of SQL (T-SQL).
- Experience with Large Language Models.
- Ability to work independently, solid collaboration and communication skills.
- Experience or deep interest in RAG, Large-Language Models and Relevance Metrics
- Passion for metrics building for complex multi-step systems.
- Passion for prompt engineering and text generations with LLMs.
- Interest in designing dashboards for data visualization in novel ways.
- Experience with Machine Learning.
Data Science 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.
Salary : $100,600 - $199,000