Microsoft Data Applied Scientist II 

India, Telangana, Hyderabad 

309024701

Requried Qualifications

• 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.
• Experience that spans the full software/service delivery lifecycle – SW engineering, Program Management and Data Science/Engineering.

Preferred Qualifications

• 5+ years of experience shipping services
• Candidate would be hypothesis driven, with a passion for data and a bias for action.
• Candidates should be experienced in framing and participating in data-driven business decisions, including measuring, and evaluating outcomes.
• Candidates must be able to communicate complex ideas and concepts to leadership and deliver results.
• Candidates must be comfortable in manipulating and analyzing complex, high dimensional data from varying sources to solve difficult problems.
• The Team player with proven ability to build trusted relationships.
• Demonstrated ability to work efficiently, prioritize workflow, and meet demanding deadlines.

• Works with executives, product engineering leaders, researchers and other data scientists to formulate data-driven answers to hard business and decision-making problems, applying a wide variety of data and techniques to help drive the engineering investments at a strategic and tactical level.
• Identifies data sources, integrates multiple sources or types of data, and develops expertise with multiple data sources to tell a story and to compensate for missing data, identify new patterns and business opportunities, and communicate visually and verbally with clear and compelling data-driven stories.
• Interprets results and develops insights into formulated problems within the business/customer context and provides guidance on risks and limitations.
• Validates, monitors, and drives continuous improvement to methods, and proposes enhancements to data sources that improve usability and results