Data Scientist, Security

Microsoft

2d

About The Position

The Cloud & AI organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. Microsoft is one of the largest enterprise service companies in the world.
Team Overview: The Microsoft Insider Risk Program is dedicated to safeguarding our people, data, and intellectual property from internal threats that could compromise the security and integrity of the company. Built on a foundation of collaboration, innovation, and analytical rigor, our team is focused on developing advanced detection and response capabilities for proactive insider risk identification, enabling Microsoft to remain resilient against internal risks in an ever-evolving threat landscape.
Role Overview: We are seeking a data scientist to join the engineering team for the Insider Risk Program. This role will join a fast-paced, growing team to build advanced detection and monitoring capabilities, leveraging tools and techniques from across data science to create new features. You will be responsible for applying analysis and experimentation methods to iterate quickly, validate hypotheses, and measure system performance. This role will collaborate closely with all parts of the Insider Risk Program, from driving program alignment to translating operational needs to applying software development and systems engineering best practices.
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.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Requirements

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master's Degree 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 consulting experience OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience
• 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 background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.
• Citizenship & Citizenship Verification: This position requires verification of citizenship due to citizenship-based legal restrictions. Specifically, this position supports United States federal, state, and/or local US government agency customers and is subject to certain citizenship-based restrictions where required or permitted by applicable law. To meet this legal requirement, and as a condition of employment, the successful candidate’s citizenship will be verified with a valid passport.
• This role will require access to information that is controlled for export under export control regulations, potentially under the U.S. International Traffic in Arms Regulations or Export Administration Regulations, the EU Dual Use Regulation, and/or other export control regulations. As a condition of employment, the successful candidate will be required to provide either proof of their country of citizenship or proof of their U.S. permanent residency or other protected status (e.g., under 8 U.S.C. 1324b(a)(3)) for assessment of eligibility to access the export controlled information. To meet this legal requirement, and as a condition of employment, the successful candidate’s citizenship will be verified with a valid passport. Lawful permanent residents, refugees, and asylees may verify status using other documents, where applicable.

Nice To Haves

• 1+ years experience in programming in Python and SQL or SQL-like language
• 1+ years experience in cybersecurity or insider risk programs
• 1+ years experience in software development concepts like unit testing and CI/CD frameworks
• 1+ years experience in applications of unsupervised machine learning or anomaly detection methods to business problems

Responsibilities

• Contribute to the design, development, implementation, and testing of data science techniques to enhance and expand detection systems. Apply big-data methods to ensure scalability and performance.
• Collaborate with key stakeholders to understand gaps and requirements and effectively translate from business problem to technical approach. Communicate technical concepts to a variety of audiences to enable shared understanding.
• Develop and maintain detailed documentation for models and features to support debugging, troubleshooting, and long-term code maintenance.
• Maintain awareness of trends in cybersecurity and insider risk detection strategies to identify opportunities to apply novel methodologies, share knowledge and contribute to technical discussions, and participate in internal/external conferences.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree