Microsoft Data Scientist II 

United States 

711802512

• 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 tec
  • 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 tec
  • OR equivalent experience.
• 1+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting experience.
• 1+ year(s) experience developing end-to-end Machine Learning systems.
• 1+ year(s) experience with open-source, cloud-based platforms, Microsoft Azure, or any other public/private cloud platforms.

Other Requirements:

• 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 Qualifications:

• 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.
    
• Understanding of public cloud design patterns and considerations in the areas of Distributed Storage Systems, Big-Data, Data Mining, Information Retrieval.
• An efficient candidate would:
  
  • Have good interpersonal, oral, and written communication and presentation skills, and the ability to communicate complex findings simply.
    
  • Enjoy discovering and solving problems, proactively seeking clarification of requirements and direction, being a self-starter who takes responsibility when required.
    
  • Be able to explore different directions for analyses and be able to quickly adapt and change direction based on the data.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• You will understand where to acquire the data necessary for your project plan and use querying, visualization, and reporting techniques to describe that data. You’ll also explore data for key attributes and collaborate with others to perform data science experiments using established methodologies for end-to-end scenarios.
• You will study the system, and design methodologies to model components of distributed systems. You will also build predictive models, conduct experiments and analyze data to gain insights into customer usage patterns, and the quality and health of products.
• You will understand modeling techniques, select the correct tool and approach to complete objectives, and evaluate the output for statistical and business significance. You’ll also analyze model performance and incorporate customer feedback into its evaluation.
• You will understand the current state of the industry, including current trends, so that you can contribute to thought leadership best practices. You’ll also write efficient code for a specific feature, and develop a working expertise of proper debugging techniques.
• 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.
• You will collaborate with others on building and deploying statistical models, applying machine learning techniques for targeted solutions and effectively communicating the analysis and findings through interactive visualizations, documents, and presentations.
• Embody our