Senior Data Scientist at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Mar, 26

Salary

234700.0

Posted On

20 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistical Analysis, Machine Learning, Data Engineering, Predictive Modeling, SQL, R, Python, Communication, Data Pipelines, Data Governance, Causal Inference, Bayesian Methods, Big Data, Java, C#, Operational Efficiency, Data-Driven Insights

Industry

Software Development

Description

Overview If you have an interest in data and are committed to developing systems that enhance informed decision-making at Microsoft, the Insights, Data Engineering & Analytics team offers a platform for professional growth. This team plays a crucial role in supporting Microsoft 365 and the Experiences + Devices group (E+D), both of which are central to the Company's mission to empower individuals and organizations to achieve more. Our objective is to foster a data-informed culture by equipping the Experiences + Devices group with actionable insights to guide their decisions. This initiative represents a significant opportunity to deliver impactful information that will improve operational efficiency, drive empowerment, and support Microsoft’s success in the evolving AI landscape. The IDEAS Data Science team (Business Pillar) specializes in transforming complex data into actionable business insights. Our focus is on building robust analytical frameworks and predictive models that drive strategic decisions across the organization by integrating various cross-signals. By leveraging advanced data engineering, statistical analysis, and machine learning, we deliver accurate business metrics, optimize performance, and uncover growth opportunities. Our mission is to empower stakeholders with data-driven intelligence that fuels innovation and operational excellence. As a Senior Data Scientist, you will work on advanced analytics initiatives to drive business insights and strategic decisions. You will design and implement scalable data solutions, apply rigorous statistical methods, and develop predictive models that influence product and business outcomes. This role requires technical depth and, business acumen to influence business outcomes. 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 Statistical Analysis & Hypothesis Testing Design and execute controlled experiments to validate hypotheses. Apply advanced statistical techniques (e.g., regression, Bayesian methods, causal inference) to derive actionable insights. Communicate limitations and confidence intervals clearly to stakeholders. Model Development & Deployment Develop predictive and prescriptive models using machine learning and AI techniques. Ensure models are production-ready, maintainable, and aligned with privacy and compliance standards. Monitor model performance and iterate based on telemetry and feedback. Data Engineering & Infrastructure Build ad hoc and production ready data pipelines for large-scale, diverse datasets. Partner with Data Engineering teams to ensure robust, secure, and scalable data infrastructure. Implement best practices for data quality, governance, and monitoring. Business Impact Translate complex analytical findings into clear business recommendations. Influence product and strategy decisions through data-driven insights. Collaborate with cross-functional teams to align analytics with organizational goals. 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. 3+ years of experience with SQL, R, Python to implement statistical models, machine learning, and analysis (Recommenders, Prediction, Classification, Clustering, etc.) in big data environment. 2+ years of experience with written and verbal communication to educate and work with cross functional teams. 1+ year of experience in delivering on ambiguous projects with incomplete or imperfect data. 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: 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. 3+ years of experience with SQL, R, Python to implement statistical models, machine learning, and analysis (Recommenders, Prediction, Classification, Clustering, etc.) in big data environment. Experience on large scale computing systems like COSMOS, Hadoop, MapReduce and/or similar systems. Experience with programming skills, e.g. Java, C#. #Datascientist 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

As a Senior Data Scientist, you will design and implement scalable data solutions and develop predictive models that influence product and business outcomes. You will also translate complex analytical findings into clear business recommendations and collaborate with cross-functional teams.