Microsoft Corporation
Overview
What if your work shaped how millions interact with technology every day? On the Surface team, you’ll help craft devices that blend cutting-edge engineering with intuitive design — bringing hardware and software together in ways that feel personal, powerful, and seamless. As a
Data Scientist II
in the Surface Data Science team, you’ll apply advanced analytics, statistical modeling, and machine learning to uncover insights, drive action, and deliver solutions to complex business and customer challenges. You’ll collaborate across engineering, product, and research to develop intelligent solutions that elevate the quality, performance, and experience of Surface devices. This role offers the opportunity to: Collaborate across engineering, product, and research teams Deepen your expertise in applied ML and AI within a dynamic product ecosystem Translate data into meaningful outcomes that influence product decisions and customer success 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. Qualifications
Required Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field — OR Master’s Degree in one of these fields AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques) 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) OR equivalent experience 1+ years of experience using
Kusto, SQL, Python, or R 1+ years working with
large datasets and big data technologies 1+ years applying
data science, statistics, or machine learning
to solve real-world business problems Preferred Qualifications: 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) Technical Expertise Proven ability to apply
statistical and machine learning techniques
to extract actionable insights from complex data Experience developing
production-grade predictive and prescriptive models Leadership & Communication Demonstrated ability to lead through ambiguity using
critical thinking, technical rigor, and strategic influence Strong collaboration and communication skills across
engineering, product, and business teams Track record of translating data into
impactful decisions and customer outcomes 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 Microsoft will accept applications for the role until September 18th, 2025. #W+DJOBS Responsibilities
Work with key business stakeholders to understand the underlying business needs and formulate the needs into discrete, manageable problems with well-defined measurable objectives and outcomes. Transform formulated problems into implementations plans for experiments by defining success metrics, applying/creating the appropriate methods, algorithms, and tools, as well as delivering statistically valid and reliable results. Acquire the data necessary for your project and develop usable data sets for modeling. Develop new predictive and prescriptive models using advanced statistical and machine learning techniques with a goal of productionizing solutions. Evaluate your team’s models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale. Conduct thorough reviews of data analysis and modeling techniques, and identify and invent new evaluation methods Influence stakeholders to make product/service improvements that yield customer/business value by effectively making compelling cases through storytelling, visualizations, and other influencing tools. Research and maintain a deep knowledge of the industry, including trends and technologies, so that you can identify and analyze the applicability and scalability of innovative data science methods. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work. Industry leading healthcare Educational resources Discounts on products and services Savings and investments Maternity and paternity leave Generous time away Giving programs Opportunities to network and connect 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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What if your work shaped how millions interact with technology every day? On the Surface team, you’ll help craft devices that blend cutting-edge engineering with intuitive design — bringing hardware and software together in ways that feel personal, powerful, and seamless. As a
Data Scientist II
in the Surface Data Science team, you’ll apply advanced analytics, statistical modeling, and machine learning to uncover insights, drive action, and deliver solutions to complex business and customer challenges. You’ll collaborate across engineering, product, and research to develop intelligent solutions that elevate the quality, performance, and experience of Surface devices. This role offers the opportunity to: Collaborate across engineering, product, and research teams Deepen your expertise in applied ML and AI within a dynamic product ecosystem Translate data into meaningful outcomes that influence product decisions and customer success 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. Qualifications
Required Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field — OR Master’s Degree in one of these fields AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques) 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) OR equivalent experience 1+ years of experience using
Kusto, SQL, Python, or R 1+ years working with
large datasets and big data technologies 1+ years applying
data science, statistics, or machine learning
to solve real-world business problems Preferred Qualifications: 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) Technical Expertise Proven ability to apply
statistical and machine learning techniques
to extract actionable insights from complex data Experience developing
production-grade predictive and prescriptive models Leadership & Communication Demonstrated ability to lead through ambiguity using
critical thinking, technical rigor, and strategic influence Strong collaboration and communication skills across
engineering, product, and business teams Track record of translating data into
impactful decisions and customer outcomes 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 Microsoft will accept applications for the role until September 18th, 2025. #W+DJOBS Responsibilities
Work with key business stakeholders to understand the underlying business needs and formulate the needs into discrete, manageable problems with well-defined measurable objectives and outcomes. Transform formulated problems into implementations plans for experiments by defining success metrics, applying/creating the appropriate methods, algorithms, and tools, as well as delivering statistically valid and reliable results. Acquire the data necessary for your project and develop usable data sets for modeling. Develop new predictive and prescriptive models using advanced statistical and machine learning techniques with a goal of productionizing solutions. Evaluate your team’s models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale. Conduct thorough reviews of data analysis and modeling techniques, and identify and invent new evaluation methods Influence stakeholders to make product/service improvements that yield customer/business value by effectively making compelling cases through storytelling, visualizations, and other influencing tools. Research and maintain a deep knowledge of the industry, including trends and technologies, so that you can identify and analyze the applicability and scalability of innovative data science methods. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work. Industry leading healthcare Educational resources Discounts on products and services Savings and investments Maternity and paternity leave Generous time away Giving programs Opportunities to network and connect 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
#J-18808-Ljbffr