Microsoft Cloud Operations + Innovation (CO+I) is seeking a Senior Data Scientist to support the growth of its cloud services by delivering high-quality infrastructure and leveraging data to influence product strategy and enhance customer experience.
Requirements
- 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.
- 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
Responsibilities
- modification techniques to transform raw data into compatible formats for downstream systems. Utilize software and computing tools to ensure data quality and completeness. Implement code to extract and validate raw data from upstream sources, ensuring accuracy and reliability.
- Writes efficient, readable, extensible code from scratch that spans multiple features/solutions. Develops technical expertise in proper modeling, coding, and/or debugging techniques such as locating, isolating, and resolving errors and/or defects.
- 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. Proactively detects changes and communicates to senior leaders. Develops usable data sets for modeling purposes. Contributes to ethics and privacy policies related to collecting and preparing data by providing updates and suggestions around internal best practices.
- Adhere to data modeling and handling procedures to maintain compliance with laws and policies. Document data type, classifications, and lineage to ensure traceability and govern data accessibility.
- Perform root cause analysis to identify and resolve anomalies. Implement performance monitoring protocols and build visualizations to monitor data quality and pipeline health. Support and monitor data platforms to ensure optimal performance and compliance with service level agreements.
- Design and Implement Dashboards: Develop user-friendly dashboards for various applications, such as Supplier Spend Analytics, Supplier Scorecards, Incident and Service Level Agreement (SLA) Compliance Monitoring, Spares and Inventory Management, and other business-facing applications.
Other
- Bachelor’s or Master’s degree in computer science, Math, Software Engineering, Computer Engineering or related field
- Ability to meet Microsoft, customer and/or government security screening requirements
- Travel 0-25%
- Background Check Requirements: Microsoft Cloud Background Check
- Must be able to work on-site
