Microsoft Data Scientist 

India, Karnataka, Bengaluru 

266133309

We are looking for high-energy, creative modeling geeks who are willing to work in a dynamic environment to solve real life day to day problems, leveraging data science techniques. You will enjoy and be successful in this role if you are curious and willing to challenge the status quo and come up with data driven solutions to ambiguous problems.

Required Qualifications:

• Bachelor's Degree in Computer Science, or related field AND 2+ year(s) experience in business analytics, data science, enginnering, software development, data modeling or data engineering work or internship experience
  • OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering or related field
  • OR equivalent experience.

Other Qualifications:

• 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:

• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 2+ years experience in business analytics, data science, enginnering, data modeling or data engineering work
  • OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field
  • OR equivalent experience.
• Experience in querying with traditional and big data repositories (MS SQL server, SQL Analysis Service, Azure SQL DB/Data Warehouse, Azure Kusto, MS Fabric/Synpase).
• Data visualization skills to be able to present insights that drive business impact.

• Assists with initial data collection and understands which analysis techniques appropriate and which tools are necessary for data exploration. Develops a foundational understanding of methodology and standard statistical options to analyze and organize data as required.
• Work with large, complex data sets, solving difficult, non-routine analysis problems with advanced data science methods.
• Applies (or develops if necessary) tools and pipelines to efficiently collect, clean, and prepare massive volumes of data for analysis.
• Understands modeling techniques used within the team, then run model tools on prepared data sets.
• Supports identification of dependencies, and the development of design documents for a product feature with oversight.
• Create and implement code for a product, service, or feature reusing code as applicable.