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.
- Maintaining a robust understanding of evolving AI technologies to keep solutions cutting edge.
- 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
- 3 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