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.
The MSRC Data Science team is responsible in building Business Intelligence on core security issues using data pipelines, data mining, ETL, dashboards, AI/ML solutions on security related data. We combine our data science work with business and engineering knowledge to provide unique insights into customer scenarios that are leading the data-driven culture within security.
We are looking for a Senior Data and Applied Scientist to partner with a wide range of Engineers, PMs, and Security PMs, build and deliver solutions using Data Engineering with Kusto, DAX and build PowerBI dashboards, AI/ML solutions using GenAI, LLM, GPT. Not limited to the mentioned problem space, this person should be able to own one or more areas of opportunities and identify Business or Engineering problems, dig out sources of data, conduct the analysis that would reveal useful insights, and build data driven insights, KPIs for Monthly Business Reviews for Senior leadership and Operational reporting. We are looking for someone who has hands-on experience in these areas and have an ability to quickly understand the business areas to help build mission critical dashboards and ML solutions.
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.

REQUIRED QUALIFICATIONS

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
• OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)OR equivalent experience.
• 4+ years’ experience in building data pipelines, ETL using cloud computing like, Kusto (Azure Data Explorer), Azure Key Vault, Azure Storage or similar.
• 4+ years experience building KPIs and dashboards using DAX and PowerBI.

OTHER REQUIREMENTS:

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 Cloud background check upon hire/transfer and every two years thereafter.

PREFERRED QUALIFICATIONS:

• Experience in building Machine Learning solutions using GenAI, LLM, GPT models
• Security Domain knowledge.

RESPONSIBILITIES

• Build data pipelines, ETL using Kusto queries and DAX to build leadership level metrics, KPIs, trends and visualizations using Power BI dashboards.
• Partner with Security PMs, Security engineering, and leadership teams to implement scalable data-driven frameworks for evaluating metrics and KPIs, and build scalable PowerBI dashboards.
• Build tools for data manipulation, processing, and visualization to extract insights and share these tools, knowledge, and findings across partner teams.
• Interpret data and communicate in a clear and lucid way to a wide variety of audiences.
• Influence decision-making by providing clarity through complex datasets and statistical analyses.Mentor early-in-career teammates and establish high standards in both data science and engineering excellence
• Work in collaboration with teammates to ensure reliable and trust-worthy data for critical business decisions to improve reliability, scalability, and efficiency.
• Build AI/ML models using GenAI, LLM, ChatGPT, AgenticAI and similar.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

• Microsoft will accept applications for the role until April 4, 2025