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Data Scientist II

Microsoft

Software and Technology Jobs

Data Scientist II

full-timePosted: Oct 9, 2025

Job Description

We are seeking Data Scientist II to join our Microsoft Search, Assistant, and Intelligence (MSAI) team to improve products such as M365 Copilot and Copilot Search for enterprise users. In this role, you will leverage machine learning and data science to enhance how users interact with AI Copilot features, delivering intelligent, context-aware prompt suggestions that boost productivity for M365 Copilot and Search users. You will lead data-driven product features, develop advanced models, and collaborate with cross-functional partners to shape the future of prompt assistance. 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.

Locations

  • Hyderabad, Telangana, India, Hyderabad, Telangana, India

Salary

Estimated Salary Rangehigh confidence

25,000,000 - 45,000,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

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 3+ 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 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. (degree)
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience (degree)
  • OR Bachelor'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) (degree)
  • OR equivalent experience. (degree)
  • 3+ years of hands-on experience in data science or a closely related role, building and deploying machine learning models to solve real-world problems. (degree)
  • Deep understanding of machine learning algorithms and statistical techniques. You should be skilled in applying a broad range of methods – including regression, classification, clustering, and recommendation algorithms. Experience in training models for predictive analytics and optimization is highly valued. (degree)
  • Solid programming skills in Python (or equivalent) for data analysis and development. Familiarity with machine learning frameworks and libraries is expected. (degree)
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. (degree)
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ 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 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. (degree)
  • 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) (degree)
  • OR Bachelor'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) (degree)
  • OR equivalent experience. (degree)

Preferred Qualifications

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ 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 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. (degree)
  • 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) (degree)
  • OR Bachelor'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) (degree)
  • OR equivalent experience. (degree)

Responsibilities

  • Machine Learning Model Development: Design and implement machine learning algorithms to enhance product. This includes developing and evaluating models and preparing large-scale datasets for training and testing.
  • Data Analysis & Insights: Analyze usage and interaction data to drive product decisions and improvements to experience.
  • Experimentation & Optimization: Design and execute experiments (A/B tests) to evaluate the impact of new features or model changes. Monitor model performance and user engagement metrics and iterate on solutions to optimize outcomes. You will own the end-to-end workflow of data science projects, from hypothesis formulation to deploying validated improvements.
  • Cross-Functional Collaboration: Work closely with a multi-disciplinary team of engineers, product managers, researchers, and UX designers in the MSAI organization.

Travel Requirements

3 days / week in-office

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Microsoft logo

Data Scientist II

Microsoft

Software and Technology Jobs

Data Scientist II

full-timePosted: Oct 9, 2025

Job Description

We are seeking Data Scientist II to join our Microsoft Search, Assistant, and Intelligence (MSAI) team to improve products such as M365 Copilot and Copilot Search for enterprise users. In this role, you will leverage machine learning and data science to enhance how users interact with AI Copilot features, delivering intelligent, context-aware prompt suggestions that boost productivity for M365 Copilot and Search users. You will lead data-driven product features, develop advanced models, and collaborate with cross-functional partners to shape the future of prompt assistance. 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.

Locations

  • Hyderabad, Telangana, India, Hyderabad, Telangana, India

Salary

Estimated Salary Rangehigh confidence

25,000,000 - 45,000,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

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 3+ 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 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. (degree)
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience (degree)
  • OR Bachelor'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) (degree)
  • OR equivalent experience. (degree)
  • 3+ years of hands-on experience in data science or a closely related role, building and deploying machine learning models to solve real-world problems. (degree)
  • Deep understanding of machine learning algorithms and statistical techniques. You should be skilled in applying a broad range of methods – including regression, classification, clustering, and recommendation algorithms. Experience in training models for predictive analytics and optimization is highly valued. (degree)
  • Solid programming skills in Python (or equivalent) for data analysis and development. Familiarity with machine learning frameworks and libraries is expected. (degree)
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. (degree)
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ 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 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. (degree)
  • 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) (degree)
  • OR Bachelor'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) (degree)
  • OR equivalent experience. (degree)

Preferred Qualifications

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ 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 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. (degree)
  • 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) (degree)
  • OR Bachelor'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) (degree)
  • OR equivalent experience. (degree)

Responsibilities

  • Machine Learning Model Development: Design and implement machine learning algorithms to enhance product. This includes developing and evaluating models and preparing large-scale datasets for training and testing.
  • Data Analysis & Insights: Analyze usage and interaction data to drive product decisions and improvements to experience.
  • Experimentation & Optimization: Design and execute experiments (A/B tests) to evaluate the impact of new features or model changes. Monitor model performance and user engagement metrics and iterate on solutions to optimize outcomes. You will own the end-to-end workflow of data science projects, from hypothesis formulation to deploying validated improvements.
  • Cross-Functional Collaboration: Work closely with a multi-disciplinary team of engineers, product managers, researchers, and UX designers in the MSAI organization.

Travel Requirements

3 days / week in-office

Target Your Resume for "Data Scientist II" , Microsoft

Get personalized recommendations to optimize your resume specifically for Data Scientist II. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Data Scientist II" , Microsoft

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Answer 10 quick questions to check your fit for Data Scientist II @ Microsoft.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.