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Selected role

Data Scientist II

Microsoft US

$100k - $215k Senior Full-time

Overview

Cloud Computing is the highly competitive and rapidly growing market and is one of the most important initiatives for Microsoft. Customers put their big bet on Azure Cloud Platform to run their business. The Azure Core Insights team is a growing Agile team looking for passionate candidate who have both machine learning /data science and development skills and a keen interest in building AIOps solutions to solve the unique challenges in Cloud and drive the new generations of cloud infrastructure.

As a member of our team, you will be helping design and implement anomaly detection, auto-triaging/correlation, and causal inference model to deliver preventive insights to improve Azure cloud system’s availability, reliability, and efficiency based on statistics, AI/ML, Large language model (LLM). You will be helping drive the actions based on the insights and infuse the AI/ML, LLM and AI Agent into our daily operations by working with research team, engineering team and program management team. The ideal candidate should have a passion around compute science, machine learning/AI, LLM and turning data into meaningful Insights and make it actionable. If you’ve dreamed of having global impact and love working with data and AI to create huge business value, come talk to us today!

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

Share accountability of a wide array of assets and be comfortable with learning a broad array of technologies.
Independently design and implement anomaly detection, auto-triaging/correlation, and causal inference model to deliver preventive insights to improve Azure cloud system availability, reliability, and efficiency
Work with partner teams to integrate the Insights into Azure daily dev operations and Azure system for automatic mitigation and repairs
Contribute towards driving visibility into customer impacting on Virtual Machines or Containers or higher-level Azure services built on top of Virtual Machines.
Assist with building an automated data quality solution to detect problems in downstream dependencies and take automated action to correct them.
Look for opportunities to share learnings and tools broadly within Microsoft and beyond. Specifically, our team does cutting edge work with Azure Data Explorer (Kusto) and makes a point at contributing back to the larger environment.

*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 1+ year(s) 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 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical tec
- OR equivalent experience.
2+ years in anomaly detection algorithm design or implemetations experience.
1+ year(s) familiarity with open source machine learning library such as Scikit-Learn, Pandas, Seaborn and or similar.
1+ year(s) familiarity with AI Agent framework and machine learning models or LLM models such as linear/nonlinear regression, Bagged and Boosted Trees, Bayes methods, Transformer and or similar.

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:

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.
2+ year(s) of basic computer science knowledge (concepts such as central processing unit (CPU), memory, top-of-rack switch (TOR), load balancer (LB), virtual network (VNet), virtual local area network (VLAN), etc.), and serverless architectures and other cloud architectural patterns.
2+ years of experience in anomaly detection related AI/ML models.
2+ years of proficiency in data visualization tools such as PowerBI, Networkx, or similar

Data Science IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process**.

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