Senior Data Scientist

About the Role

The Customer and Partner Experience (CxP) team, part of the Identity & Network Access (IDNA) engineering division within Microsoft's Security product group, is seeking a Senior Data Scientist. This role offers an exciting opportunity within Microsoft's most customer-connected engineering team. You will be responsible for understanding product/business priorities, conducting opportunity analysis, defining product metrics, setting metric targets, building data-driven hypotheses, and executing high-quality experiments to achieve those targets. We are looking for an experienced Data Scientist with a proven track record of solving complex data analysis and machine learning problems in a real-world product setting, passionate about customer experience, driving user engagement, and growth. An ideal candidate will closely partner with product teams to drive product/business growth with meaningful insights and data-driven recommendations and experimentation. Experience with experimentation and driving growth in a subscription business is a plus.

Responsibilities

• Builds deep understanding of the Microsoft Security business, technology, and customers.
• Applies (or develops if necessary) tools and pipelines to efficiently collect, clean, and prepare massive volumes of data for analysis.
• Transforms problems into analysis plans for data telemetry, metrics, predictive modeling, reporting, and experimentation. Communicates and gets alignment on analytics priorities.
• Partners with teams across Microsoft & within Identity division to drive customer opportunities and revenue growth.
• Communicates key outcomes with stakeholders and leadership.
• Mentors other data scientists and data engineers.

Qualifications

• Bachelor's/Master’s degree in Mathematics, Statistics, Data science, Computer Science, Computer Engineering, or related field.
• 8+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques, and reporting results).
• Experience building product/business metrics.
• Solid foundation of statistical modeling, machine learning algorithms and experimental design.
• Hands-on experience with big data technologies as well as data analytics tools.
• Excellent data visualization skills to be able to present insights that drive business impact.
• Excellent communication & collaboration skills.
• Strong track record of self-directed execution.

Requirements

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.