Principal Data and Applied Scientist

We are seeking a Principal Data & Applied Scientist to join the Data Intelligence team and spearhead our product insights and analytics initiatives. In this role, you will play a pivotal role in deciphering data generated by our Copilot for Security platform, driving actionable insights that inform our strategic decisions and product development roadmap. You will collaborate closely with cross-functional teams to understand market trends, customer behavior, and business drivers, ultimately shaping how we leverage data to achieve desired outcomes. Join us in our mission to redefine cybersecurity and empower organizations worldwide to protect against digital threats. Apply now and be part of a dynamic team driving innovation and impact in the ever-evolving landscape of security technology.

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’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.

Responsibilities

• Lead the development and implementation of data-driven strategies to extract actionable insights from telemetry data generated by Copilot for Security.
• Collaborate with product and engineering teams to identify key metrics, design experiments, and evaluate the effectiveness of new features and enhancements.
• Utilize advanced statistical and machine learning techniques to uncover patterns, trends, and correlations within the data, enabling us to better understand customer behavior and preferences.
• Work closely with market analysts to integrate external market trends and intelligence into our data analysis, providing holistic insights that drive informed decision-making.
• Partner with stakeholders to define KPIs and performance metrics, continuously monitoring and optimizing our product performance and user experience.
• Communicate findings and recommendations to leadership and cross-functional teams through compelling visualizations, presentations, and reports.
• Stay abreast of emerging technologies, methodologies, and best practices in data science and analytics, actively contributing to our culture of innovation and excellence.

Other

• Embody our Culture and Values

Qualifications

Required/Minimum Qualifications

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ year(s) 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.
• 5+ years of experience in machine learning, natural language processing, and deep learning.
• Experience in programming languages such as Python, R, or SQL, with hands-on experience in data analysis, experimental