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# Senior Data Scientist - FDE

- **Company:** Microsoft
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $119,800.0 - $234,700.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Files, Software Debugging, Microsoft Software, Unstructured Data, Information Technology, Data Management
- **Published:** October 31, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-data-scientist-fde-new-york-ny--92bbc4d9-2982-496e-8c47-6eb95503eb22

## About the Role

Data Science, Microsoft Product Family, Data Science, Data Modeling, Artificial Intelligence (AI), Machine Tool, Product Lifecycle, Data Sets, Business Strategy, Problem Solving Skills, Required/minimum 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 Masters 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 Bachelors 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.

Other Requirements

 * Microsoft is unable to sponsor a work visa for this role due to the nature of the role's job duties.

Additional or 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 Masters Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 6+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
 * Experience partnering directly with customers or internal stakeholders to deliver solutions end-to-end.

#FDE

## Description

* You will oversee acquisition of the data sets necessary for your project delivery and ensure data is properly formatted and described. You will address any gaps in current data sets, and drive ethics and privacy discussions around data collection and preparation.
 * You will evaluate your team's models using metrics tied to genuine business outcomes and recommend improvements as necessary, 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 in best practices. You'll also write extensible code that spans multiple features and develops expertise in proper debugging techniques.
 * You will define business, customer, and solution strategy goals, and partner with other teams to identify and explore new opportunities. You'll also commit to a customer-oriented focus by acknowledging their needs and offering customer pragmatic solutions that align with their data capabilities.
 * As a senior data scientist, you will also coach engineers and cross-disciplinary partners in data science best practices and scale knowledge within the cross discipline team.