Microsoft · 20 hours ago
Data Scientist (Energy)
United States, Washington, Redmond
Full-time
Hybrid
Mid, Senior Level
$101K/yr - $199K/yr
2+ years expMicrosoft’s Cloud Operations & Innovation (CO+I) team is responsible for the full lifecycle of Microsoft’s cloud infrastructure. They are seeking a Data Scientist for Energy Analytics to develop data infrastructure for corporate energy portfolios, focusing on sustainability reporting and data center operations.
Agentic AIApplication Performance ManagementArtificial Intelligence (AI)Business DevelopmentDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
Responsibilities
Architect and Develop Data Pipelines: Design, build, and maintain scalable data pipelines and workflows using Python and SQL to support data integration, transformation, and loading processes
Build and Maintain ADO Pipelines: Develop and manage Azure DevOps (ADO) pipelines and other Azure Infrastructure (subscription, blob storage, VMs, etc.) to automate deployment and integration workflows, ensuring efficient and reliable delivery of data solutions
Implement Best Software Practices: Drive and enforce best practices in software development, including code reviews, testing, and continuous integration/continuous deployment (CI/CD) processes
Data Quality and Governance: Ensure data quality, integrity, and governance by implementing robust data validation, monitoring, and auditing processes
Collaborate with Cross-Functional Teams: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs
Qualification
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
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
Doctorate 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 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+ years' professional experience in applications of computer science, with coding experience in Python
2+ years' professional experience in designing, building, and maintaining scalable data pipelines and infrastructure
Experience in SQL databases
Demonstrated ability to perform in ambiguous environments and thrive in a dynamic work environment
Exceptional interpersonal and communication skills, especially the ability to explain complex issues clearly and concisely
Experience with Azure DevOps, Azure Data Factory, Databricks, and other Azure data services
Statistical background and/or data science experience
Company
Microsoft
Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.
10001+ employees
H1B Sponsorship
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Funding
Current Stage
Public CompanyTotal Funding
$1MKey Investors
Technology Venture Investors
2022-12-09Post Ipo Equity
1986-03-13IPO
1981-09-01Series Unknown· $1M
Leadership Team
Satya Nadella
Chairman and CEO
Vukani Mngxati
Chief Executive Officer - Microsft South Africa
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