Microsoft
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Senior Data Scientist
role at
Microsoft Microsoft
Cloud Operations + Innovation (CO+I)
is the engine that powers Microsoft’s cloud services. Our team is dedicated to delivering high-quality infrastructure to support cloud operations. As Microsoft’s cloud business continues to mature, our infrastructure expansion accelerates—with Data Centers at the core of this growth. We are seeking a skilled
Senior Data Scientist
to join our
CO+I Lease and Land Development Digital Transformation team . This role is ideal for someone who thrives in a fast-paced environment, enjoys solving complex problems, and is passionate about using data to influence product strategy and enhance customer experience. Responsibilities Apply modification techniques to transform raw data into compatible formats for downstream systems. Writes efficient, readable, extensible code from scratch that spans multiple features/solutions. Leverages technical proficiency of big-data software engineering concepts, such as Hadoop Ecosystem, Apache Spark, continuous integration and continuous delivery (CI/CD), Docker, Delta Lake, MLflow, AML, and representational state transfer (REST) application programming interface (API) consumption/development Acquires data necessary for successful completion of the project plan. Adhere to data modeling and handling procedures to maintain compliance with laws and policies. Perform root cause analysis to identify and resolve anomalies. Knowledge and implementation of an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Leverages knowledge of machine learning solutions to identify the best approach to complete objectives. Writes all necessary scripts in the appropriate language: T-SQL, U-SQL, KQL, Python, R, etc. Design and Implement Dashboards: Develop user-friendly dashboards for various applications. Qualifications Required Qualifications Bachelor’s or Master’s degree in computer science, Math, Software Engineering, Computer Engineering or related field AND 4+ years’ experience in business analytics, data science, data modeling, or data engineering. Excellent analytical skills with a systematic and structured approach to software design 5+ years of experience in data science, analytics, or machine learning 4+ years of experience in developing solutions with Microsoft Power Platform (Power BI, Fabric, Power Automate & M365 Dataverse). 3+ years of experience in building Data Pipelines using Azure Data Factory. 1+ year of experience in developing solutions in Azure Fabric 4+ Years of experience in writing SQL Queries Experience with data cloud computing technologies such as – Azure Synapse, Azure Data Factory, SQL, Azure Data Explorer Preferred Qualifications 8+ years of experience in data engineering with proven coding and debugging skills in C#, Python, and/or SQL Creative problem-solving & analytical skills to drive keen insights and identification of opportunities combined with a “sense of urgency” to develop solutions. Deploying solutions in Azure Services & Managing Azure Subscriptions Understanding and knowledge about big data and writing queries with Kusto/KQL. Understanding and knowledge about extracting data via REST APIs Excellent analytical skills with a systematic and structured approach to software design Microsoft is an equal opportunity employer. Consistent with applicable law, 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.
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Senior Data Scientist
role at
Microsoft Microsoft
Cloud Operations + Innovation (CO+I)
is the engine that powers Microsoft’s cloud services. Our team is dedicated to delivering high-quality infrastructure to support cloud operations. As Microsoft’s cloud business continues to mature, our infrastructure expansion accelerates—with Data Centers at the core of this growth. We are seeking a skilled
Senior Data Scientist
to join our
CO+I Lease and Land Development Digital Transformation team . This role is ideal for someone who thrives in a fast-paced environment, enjoys solving complex problems, and is passionate about using data to influence product strategy and enhance customer experience. Responsibilities Apply modification techniques to transform raw data into compatible formats for downstream systems. Writes efficient, readable, extensible code from scratch that spans multiple features/solutions. Leverages technical proficiency of big-data software engineering concepts, such as Hadoop Ecosystem, Apache Spark, continuous integration and continuous delivery (CI/CD), Docker, Delta Lake, MLflow, AML, and representational state transfer (REST) application programming interface (API) consumption/development Acquires data necessary for successful completion of the project plan. Adhere to data modeling and handling procedures to maintain compliance with laws and policies. Perform root cause analysis to identify and resolve anomalies. Knowledge and implementation of an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Leverages knowledge of machine learning solutions to identify the best approach to complete objectives. Writes all necessary scripts in the appropriate language: T-SQL, U-SQL, KQL, Python, R, etc. Design and Implement Dashboards: Develop user-friendly dashboards for various applications. Qualifications Required Qualifications Bachelor’s or Master’s degree in computer science, Math, Software Engineering, Computer Engineering or related field AND 4+ years’ experience in business analytics, data science, data modeling, or data engineering. Excellent analytical skills with a systematic and structured approach to software design 5+ years of experience in data science, analytics, or machine learning 4+ years of experience in developing solutions with Microsoft Power Platform (Power BI, Fabric, Power Automate & M365 Dataverse). 3+ years of experience in building Data Pipelines using Azure Data Factory. 1+ year of experience in developing solutions in Azure Fabric 4+ Years of experience in writing SQL Queries Experience with data cloud computing technologies such as – Azure Synapse, Azure Data Factory, SQL, Azure Data Explorer Preferred Qualifications 8+ years of experience in data engineering with proven coding and debugging skills in C#, Python, and/or SQL Creative problem-solving & analytical skills to drive keen insights and identification of opportunities combined with a “sense of urgency” to develop solutions. Deploying solutions in Azure Services & Managing Azure Subscriptions Understanding and knowledge about big data and writing queries with Kusto/KQL. Understanding and knowledge about extracting data via REST APIs Excellent analytical skills with a systematic and structured approach to software design Microsoft is an equal opportunity employer. Consistent with applicable law, 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.
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