Data Scientist II

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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.

Cloud App and Identity Research (CAIR) team is leading the security research of Microsoft Defender for Cloud Apps. We are working on the edge technology of AI and Cloud. Researchers in the team are world class experts in cloud related threats, they are talented and enthusiastic employees.

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

• 5+ years of programming language experience like C/C++/C#/Python required and hands on experience in using technologies such as Spark, Azure ML, SQL, KQL, Databricks, etc.
• Able to prepare data pipelines and feature engineering pipelines to build robust models using SQL, PySpark, Azure Data Studio etc.
• Knowledge of Classification, Prediction, Anomaly Detection, Optimization, Graph ML, NLP · Candidate must be comfortable in manipulating and analyzing complex, high dimensional data from various sources to solve difficult problems.
• Knowledge of working in cloud-computing environment like Azure / AWS / Google Cloud. · Proficient in Relational Databases (SQL), Big Data Technologies (PySpark). Azure storage technologies such as ADLS, cosmos DB, etc.
• Generative AI experience is a plus · Bachelor's or higher degrees in Computer Science, Statistics, Mathematics, Engineering, or related disciplines.

• Build algorithms and innovative methods to discover and defend real world sophisticated cloud-based attacks in SaaS ecosystem.
• Collaborate with other data scientists to develop machine learning systems for detecting anomalies, compromises, fraud, and non-human identity cyber-attacks using both Gen AI and graph-based systems.
• Identify, integrate multiple data sources, or types of data, and develop expertise with multiple data sources to tell a story,identify new patterns and business opportunities, and communicate visually and verbally with clear and compelling data-driven stories.
• Analyze extensive datasets and develop a robust, scalable feature engineering pipeline within a PySpark-based environment. ·
• Acquires and uses broad knowledge of innovative methods, algorithms, and tools from within Microsoft and from the scientific literature and applies his or her own analysis of scalability and applicability to the formulated problem.
• Work across Threat Researchers, engineering, and product teams to enable metrics for product success.
• Contribute to active engagement with the security ecosystem through Research papers, presentations, and blogs.
• Provide subject matter expertise to customers based on industry attack trends and product capabilities.