Data Scientist

Azure Edge team operates one of the biggest network infrastructure on the planet. Team manages Edge network for entire Microsoft connecting more than 200 edge sites across the globe, with the mission of reaching within 25ms to every human in planet. Team is constantly innovating on technologies to build world’s most reliable, performant and secure network infrastructure.

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**:

- Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in building and deploying decision models into production that guide strategy, operational execution, and risk management of Microsoft Edge.
- Act as owner for a broad scope of data, metrics, and models.
- Guide code and model reviews.
- Maintain high statistical, mathematical, and analytical rigor.
- Lead model design, implementation, and validations.

**Qualifications**:
**Required Qualifications**:

- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
- OR equivalent experience
- 1+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting experience.

**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**:

- Extensive experience in relevant STEM field (Data Science, Mathematics, Economics, Operations Research, or related quantitative field)
- Proven years of experience using analytics to solve product or business problems, coding (e.g, Python, R, SQL, Matlab, C)
- Experience with Optimization modeling
- Experience in using Gurobi, Google OR Tools or similar tooling
- Convex optimization experience

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