Senior Data Scientist at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Mar, 26

Salary

234700.0

Posted On

23 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Statistical Techniques, Data Analysis, Machine Learning, Predictive Modeling, Experiment Design, Customer Insights, Programming, Python, R, C++, C#, Java, Collaboration, Critical Thinking, Communication

Industry

Software Development

Description

Overview Developers are at the heart of the AI transformation — driving innovation, shaping the future, and building what’s next. We are seeking a passionate and strategic Data Scientist to help redefine how developers use AI-powered tools and platforms within Windows to help their customers achieve more. In this role, you will empower millions of developers to bring their ideas to life faster and more intelligently, accelerating innovation across the software development lifecycle. You’ll work closely with product teams to embed data-driven thinking into every stage of product development—from ideation to launch. Your insights will directly influence product direction, uncover new opportunities, and help shape the future of AI-driven development. As a Data Scientist on this Redmond-based Windows Data team, you will be part of Microsoft’s AI transformation, impacting the experience of billions of Windows users. You’ll explore novel ways to extract insights from data, design experiments, and build models that drive clarity 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. Responsibilities You will work closely with a variety of teams including senior leadership, product management, software engineers, design, and User Research to shape business and product strategy through the use of data-backed insights. You will identify instrumentation needs, define and set up metrics and OKRs, deeply analyze the data to identify insights and experiment ideas that move our business metrics. You will design and execute on Growth Experiments, analyze results to identify key insights. You will help evaluate the return of investments on new ideas, to assess if investments are meeting customer and business promises, and hypotheses and insights to drive growth. You will build models that predict customer behavior that will be used to drive personalized features and targeted outreach efforts. You will drive best practices for models and develop operational models that run at scale. You’ll also conduct thorough reviews of data analysis and modeling techniques, and identify and invent new evaluation methods. You will research and maintain a deep knowledge of the industry, including trends and technologies, so that you can identify strategy opportunities and contribute to thought leadership best practices. You’ll also write extensible code that spans multiple features, and develop expertise in proper debugging techniques. Qualifications Required 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) OR equivalent experience. 1+ years customer-facing, project-delivery experience, professional services, and/or consulting experience. Experience in customer-facing roles involving developers as stakeholders, or direct hands-on experience in software development Experience managing structured and unstructured data including coding in at least one high-level programming language such as Python, R, C/C++, C#, or Java. Preferred Qualifications: Doctorate 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 Master'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 Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Experience working in environments with developers building and maintaining production-scale applications, services, or solutions. Experience with Exploratory Data Analyses, Inference analysis, Predictive analysis (Regression, Classification, etc.) and forecasting. Demonstrated ability to lead in complex and ambiguous environments by applying critical thinking, technical skills, and strategic influence to drive measurable results. Demonstrated ability to effectively communicate and collaborate cross-team and cross-function to deliver impact. Data Science 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 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.

Responsibilities

You will work closely with various teams to shape business and product strategy through data-backed insights. Your role includes designing experiments, building predictive models, and conducting thorough data analysis.