Question
FULL_TIME
2-5

Applied Scientist

11/21/2025

Build and maintain ADO pipelines and Azure Assets in a secure manner. Develop and productionize end-to-end models in Python, applying expertise in quantitative analysis and data mining.

Working Hours

40 hours/week

Company Size

10,001+ employees

Language

English

Visa Sponsorship

No

About The Company
Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.
About the Role
Build and maintain ADO pipelines, and maintain Azure Assets (subscription, blob storage, SQL database, key vault, etc.) in a secure and compliant manner. Connect to and build APIs for turning data science models into a full production system. Develop and productionize E2E models in Python, including data manipulation, model building, and business applications. Apply expertise in quantitative analysis, data mining, and the presentation of data to develop demand forecasting models. Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND relevant internship experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience. - 2+ years' experience in applications of computer science, advanced statistical, analytical techniques or equivalent experience. 2+ years' experience with coding in languages including C, C++, C#, Java, JavaScript, or Python. Experience in SQL and/or NO-SQL databases. Excellent communication and leadership skills to drive projects and build buy-in and support. Demonstrated experience leading and managing a business-critical function. Technical certifications relevant to data analysis/BI.
Key Skills
AzureAPIsPythonData ManipulationModel BuildingBusiness ApplicationsQuantitative AnalysisData MiningDemand ForecastingSQLNo-SQLCommunicationLeadershipStatistical TechniquesC++JavaJavaScript
Categories
TechnologyData & AnalyticsEngineeringScience & ResearchSoftware
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