New 
Principal Data Scientist
 Microsoft | |
 United States, Texas, Irving | |
| 7000 State Highway 161 (Show on map) | |
 Jul 25, 2025 | |
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OverviewAre you passionate about developing innovative solutions to complex problems? Do you get excited by quality and efficiency analysis at hyperscale? As a data scientist with software engineering experience, you'll design and implement solutions to validate and improve the efficiency of the hardware and virtualization technologies that power Azure Compute. You'll analyze large datasets to identify failure patterns and use real customer usage data and models to run simulations. Your work will help validate software and configuration changes and uncover new opportunities for efficiency gains, at scale. This role offers the opportunity to make a significant impact on the quality and efficiency of Azure, directly affecting millions of users. You'll accelerate your career growth while continuously learning and collaborating within a large, dynamic team.Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities* You will use deep learning and reinforcement learning techniques to create models that improve resource usage, validate software and configuration updates, and assist in the creation of new products. You will use in context learning, fine tuning, transfer learning, adapter models, and similar techniques to customize models for a specific domain. * Oversee data acquisition and ensure data is properly formatted and described. You'll also coach engineers in data cleaning and analysis best practices, identify gaps in current data sets, and drive ethics and privacy discussions around data collection and preparation.* Evaluate your team's models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale. You'll also conduct thorough reviews of data analysis and modeling techniques, and identify and invent new evaluation methods.* Research and maintain a deep knowledge of the industry, including trends and technologies, so that you can identify strategy opportunities and contribute to thought leadership best practices. You'll also write extensible code that spans multiple features, and develop expertise in proper debugging techniques.* Define business, customer, and solution strategy goals, and partner with other teams to identify and explore new opportunities. You'll also commit to a customer-oriented focus by acknowledging their needs, and offer customer pragmatic solutions that align with their data capabilities. | |