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Company

Original Job Post

Microsoft · 2 days ago

Data and Applied Scientist

Redmond, WA

Full-time

Onsite

Senior Level

$98K/yr - $193K/yr

5+ years exp

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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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data ScienceMathematicsStatisticsEconometricsEconomicsOperations ResearchComputer ScienceProject-deliveryConsultingMachine LearningScikit-LearnPandasSeabornStatistics ModelsLLM ModelsLinear RegressionNonlinear RegressionBagged TreesBoosted TreesBayes MethodsTransformerAnomaly DetectionAlgorithm DesignOnline ExperimentsTechnical EngineeringC++C#JavaJavaScriptPython

Required

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 techniques and reporting results) or consulting experience

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 techniques and reporting results)

OR equivalent experience

Experience in customer-facing, project-delivery, professional services, and/or consulting

AND with open source machine learning library such as Scikit-Learn, Pandas, Seaborn and or similar

AND with statistics/machine learning models or LLM models such as linear/nonlinear regression, Bagged and Boosted Trees, Bayes methods, Transformer and or similar

Experience in Anomaly detection algorithm design and implementations experience or online experiments design and implementations

AND technical engineering experience with coding in languages including, but not limited to, C++, C#, Java, JavaScript, or Python OR equivalent experience

Preferred

Bachelor's Degree in Computer Science, Data Science, Applied Mathematical or Statistics, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

OR Master's Degree in Computer Science, Data Science, Applied Mathematical or Statistics, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

OR Doctorate in Computer Science, Data Science, Applied Mathematical or Statistics, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

OR equivalent experience

5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience

Top Tier conference/Journal publications related to anomaly detection, auto-diagnosis and experiments design and implementations

Deep compute science knowledge (concepts such as CPU/Memory/TOR/ LB/Vnet/ VLan etc), and serverless architectures and other cloud architectural patterns

Familiar with data visualization tools such as PowerBI, Networkx or similar

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

Benefits

Dental Insurance

Vision Insurance

Company

Microsoft

Glassdoor

4.3

Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.

Founded in 1975

Redmond, Washington, USA

10,001+ employees

https://www.microsoft.com

H1B Sponsorship

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2020 (6856)