Microsoft Azure Storage is looking for a Data Scientist to leverage data and apply machine learning (ML) techniques and statistical analysis to solve high-impact business problems, uncover insights that shape Azure Storage’s technical and business strategy, and improve storage efficiency and customer experience.
Requirements
- Experience in developing end-to-end machine learning (ML) systems?
- Experience with public cloud design patterns and considerations in the areas of Distributed Storage Systems, Big-Data, Data Mining, Information Retrieval.
- Experience with open source, cloud-based platforms, Microsoft Azure, or any other public/private cloud platforms.
Responsibilities
- Build Models and Agentic Applications to solve complex artificial intelligence (AI) and machine learning (ML) problems for Azure Storage.
- Data Analysis, Engineering to ensure the models and AI applications have high quality data to work with.
- You will understand modeling techniques used within the team, then run model tools on prepared data sets.
- You’ll also analyze model performance and incorporate customer feedback into its evaluation.
- You’ll also write code for a specific feature or model, and develop an understanding of proper debugging techniques.
Other
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
- You will understand each customer’s business goals and learn best practices for identifying growth opportunities.
- You’ll also examine projects through a customer-oriented focus, and manage customer expectations regarding project progress.
- Microsoft will accept applications for the role until October 17th, 2025.
