Microsoft · 19 hours ago
Principal Security Data Scientist
Redmond, WA
Full-time
Hybrid
Senior Level, Lead/Staff
$140K/yr - $275K/yr
5+ years expMicrosoft is looking for a Principal Security Data Scientist to help secure its clouds through innovative, cloud-native security solutions. In this role, you will solve complex security challenges and collaborate with various teams to deliver resilient solutions in a fast-paced environment.
Artificial Intelligence (AI)Enterprise SoftwareCloud ComputingCyber SecuritySoftwareProfessional ServicesInformation TechnologyAgentic AIApplication Performance ManagementBusiness DevelopmentDevOpsInformation ServicesManagement Information SystemsNetwork Security
No H1B
U.S. Citizen Only
Responsibilities
Defines business-strategy goals, customer-strategy goals, and solution-strategy goals
The Principal Security Data Scientist will partner with teams to identify and explore opportunities for the application of machine learning (ML) and other data-science tools
Leverages technical expertise to develop partnerships between product teams, Sales teams, Area teams, and Services
Work collaboratively across disciplines
Leads involvement of intellectual property (IP) definition improvement
Coaches and mentors less experienced engineers
Leverages subject matter expertise to analyze problems and issues facing projects to uncover, manage, and/or mitigate factors that can influence final outcomes across product lines
Partners with business team to drive strategy and recommend improvements
Raises opportunities to look for new work opportunities and different contexts to use existing work
Establishes, applies, and teaches standards and best practices
Independently writes efficient, readable, extensible code/model that spans multiple features/solutions
Contributes to the code/model review process by providing feedback and suggestions for implementation and improvement
Develops expertise in proper modeling, coding, and/or debugging techniques such as locating, isolating, and resolving errors and/or defects
Leads a project team in the gathering, integrating, and interpreting of data/information from multiple sources in order to properly troubleshoot errors
Provides feedback on non-optimized features/solutions back to product group, and explores potential for new features
Leverages expert-level proficiency of big-data software engineering concepts, such as Hadoop Ecosystem, Apache Spark, continuous integration and continuous delivery (CI/CD), Docker, Delta Lake, MLflow, AML, and representational state transfer (REST) application programming interface (API) consumption/development
Commits to a customer-oriented focus by acknowledging customer needs and perspectives, validating customer perspectives, focusing on broader customer organization/context, and serving as a trusted advisor
Identifies opportunities and adds valuable insight by incorporating an understanding of the business, product/service functionality, data sources, methodologies to reframe problems, and the customer perspective
Interprets results, develops insights, and effectively communicates results to the customer
Leads the discussion with customers and offers pragmatic solutions that are feasible given their data limitations
Oversees data acquisition efforts and ensures data is properly formatted and accurately described
Utilizes key technologies and tools necessary for data exploration (e.g., structured query language [SQL], Python)
Uses querying, visualization, and reporting techniques to explore the data, including distribution of key attributes, relationships between attributes, simple aggregations, properties of significant sub-populations, and statistical analyses
Mentors and coaches engineers in data cleaning and analysis best practices
Identifies gaps in current data sets and drives onboarding of new data sets (e.g., bringing on third-party data sets)
Drives discussions around ethics and privacy policies related to collecting and preparing data
Integrates industry-wide ethics insights and best practices to influence internal processes and drive decision-making
Builds data platforms from scratch across products
Builds data-science business solutions using existing technologies, products, and solutions, as well as established patterns and practices
Provides guidance on model operationalization of models created by data scientists
Identifies new opportunities from data and processes data in a way that is usable for general purpose
Qualification
Required
Doctorate 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 Master'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 Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter
Citizenship & Citizenship Verification: This position requires verification of U.S citizenship due to citizenship-based legal restrictions. Specifically, this position supports United States federal, state, and/or local United States government agency customers and is subject to certain citizenship-based restrictions where required or permitted by applicable law. To meet this legal requirement, citizenship will be verified via a valid passport
Preferred
Doctorate 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 Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ 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 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience
4 years' experience in Cyber Security
Company
Microsoft
Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$1MKey Investors
Technology Venture Investors
2022-12-09Post Ipo Equity
1986-03-13IPO
1981-09-01Series Unknown· $1M
Leadership Team
Satya Nadella
Chairman and CEO
Vukani Mngxati
Chief Executive Officer - Microsft South Africa
Recent News
2026-01-16
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