Data Scientist II

Overview

The Microsoft Azure cloud aims to be the computer of the world. The most important pillar in cloud computing is availability and quality. In order to maintain quality while deploying the features our customers demand, we leverage controlled experimentation and A/B testing. As part of this role, you will work on features that enable deploying controlled experiments for new features coming in at a break-neck pace at cloud scale, in a fully automated manner. We leverage data science and graph theory to design the controlled experiments, ensuring coverage of key properties while satisfying the requirements of our customers and constraints of our cloud environment. This involves developing efficient heuristics for NP-hard problems on the Azure graph. Imagine min path cover and min clique cover on steroids. Once the environments are designed and the runs are complete, our team raises high precision alerts using hypothesis testing, establishing causation between the change introduced and the issues observed. We have to delicately balance precision with recall, making sure we maximize business value.

This role requires deep understanding of computer science and software engineering as well as data science and statistics concepts.

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

• You will help with data munging, setting up ETL pipelines, etc. to ensure we're getting the high quality data we need to raise high precision alerts.
• You will understand the workings of the cloud industry, develop domain knowledge and how customers scale with the cloud.
• You will work on the combinatorial testing aspects involving graph theory, computational complexity and NP-hard problems.
• You will be responsible for enhancing and maintaining our alerting system on top of A/B experimentation.
• You will leverage generative AI and other cutting edge techniques to automate processes and scale our system.

Qualifications

Required Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
• OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND data-science experience (e.g., managing structured and unstructured data, applying statistical tec
• OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND data-science experience (e.g., managing structured and unstructured data, applying statistical tec
• OR equivalent experience.
• Customer-facing, project-delivery experience, professional services, and/or consulting experience.

Other Qualifications:

• 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:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR equivalent experience.