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Data & Applied Scientist

4 months ago

Hyderabad, Telangana, India Microsoft Full time

As part of the Cloud Supply Chain Sustainability (CSCS) team in Azure, we are at the heart of Microsoft's cloud strategy.

This new team is eager to deliver a sustainability platform for our customers & partners by combining science-based approach to climate change with strong engineering culture of delivering platforms and services on Azure using the latest technologies in machine learning, the Internet of Things.


This is an opportunity to work on a large technology stack, in an open and diverse environment, tackling big and complex challenges, and collaborating with a variety of partners and stakeholders to define the future of sustainability solutions.

The team has won many awards and patents and will be spurring the next set of innovations.

Responsibilities:

  • Lead and Scope out large quantitative projects and translate it into a machine learning problem and think of optimal ways of solving it. Outline alternative approaches and identify pros, cons, risks and provide recommended approaches.
  • Interpret data and communicate in a clear and lucid way to a wide variety of audiences
  • Validate, monitor, and drive continuous improvement to methods, and propose enhancements to data sources that improve usability and results
  • Mentor earlyincareer teammates and establish high standards in both data science and engineering excellence.
  • Work in collaboration with teammates to ensure reliable and trustworthy data for critical business decisions to improve reliability, scalability, and efficiency.

Qualifications:

Required Qualifications:

  • 8+ years of professional experience in the software industry
  • 6+ years of professional experience in Machine Learning, Natural Language Processing, Deep Learning, Computer Vision, and related areas.
  • 3+ years' experience in building data pipelines using cloud computing like Azure SQL database, Kusto, Azure ML, Azure Key Vault, Azure Storage or similar.
  • Experience in Python, PySpark, SQL, and Kusto
  • Experience in creating APIs, deploying to production (SW engineering experience)
  • Theoretical background in statistics, machine learning, and algorithms.
  • Experience with state of the libraries to build ML models.
  • Attention to detail with selfdiscipline and a drive for results.
  • Demonstrated ability to work in ambiguous situations and across organizational boundaries.
  • Bachelors or master's degree in Computer Science or related fields
  • Bachelors or master's degree in Computer Science or related fields
  • 4+ years professional experience in Machine Learning
  • 2+ years professional experience in Software Development, delivering services in the cloud

Preferred Qualifications:

  • Experience in developing using Azure ML, Azure SQL database, Azure Analysis Services, Azure Data Factory, Power BI or similar.
  • Experience in Azure Synapse, Databricks, Azure Data Lake V2, Azure Purview
  • Experience in Graph databases
  • Experience in big data platforms
  • 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.

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Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.