Security Data Scientist

Full time

Employment Information


Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all.

We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions.

The Microsoft Security 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 Threat Intelligence Center has unique optics into end-to-end cyberattacks and how different stages manifest across our telemetry. By partnering across the company, we build proof-of-concept solutions that showcase new detection capabilities, through novel correlation and analysis methodologies. Our work contributes directly to the customer-facing security tools provided by Microsoft, achieving large scale global impact.

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.


We are looking for an innovative security data scientist who can apply machine learning techniques to help our analysts and threat hunters detect and track threats in our telemetry sources, increasing their effectiveness.

You will create algorithms that will be applicable to multiple services and data sources and apply them at cloud scale. Your work will combine data science, security research and software engineering to protect Microsoft customers.

Responsibilities include:

  • Work with our threat hunters and analysts to develop novel approaches to tracking and monitoring threat actors that target Microsoft customers by applying machine learning / statistics.
  • Deliver end to end solutions for processing large scale data that originates from users, services, or other automated systems.
  • Partner across Microsoft Threat Intelligence to deliver end to end solutions to our products and services.


Required qualifications:

  • Bachelor’s Degree in Statistics, Mathematics, Computer Science or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) o
  • OR Master’s Degree in Statistics, Mathematics, Computer Science or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) o
  • OR Doctorate in Statistics, Mathematics, Computer Science or related field o OR equivalent experience. - Strong programming skills in Python with an understanding of cloud architectures and distributed computing such as Apache Spark.
  • Curiosity and passion for problem solving; ability to learn new skills quickly and apply them to real world problems.
  • A strong interest in applying data science to security and threat intelligence problems.

Preferred qualifications:

  • Demonstrable experience in applying machine learning and statistical approaches to telemetry in the security domain to detect and track malicious activity.
  • Track record of prototyping new innovative ideas and seeing them through to production.
  • Knowledge of threat actor TTPs across the kill chain and how they manifest themselves in telemetry sources.
  • Experience developing AI/ML solutions using large language models (LLMs).

This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.


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