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The Sovereign Cloud Security Health team is looking for a Data Scientist to help secure Microsoft’s clouds through innovative, cloud-native security solutions. We operate internal security services that power scanning, monitoring, alerting, and detection at scale, with a strong focus on sovereign cloud environments. In this role, you’ll solve complex security and systems challenges in a fast-paced, agile setting. You’ll work closely with Azure Security engineering teams, product managers, and internal stakeholders to deliver resilient solutions. If you’re passionate about building scalable, distributed, and highly available services, we’d love to have you on the team.
Job Responsibility:
Defines business-strategy goals, customer-strategy goals, and solution-strategy goals
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
Requirements:
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
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience
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
Nice to have:
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience