Microsoft Principal Data Scientist 

United States, Washington 

951420507

Industry Solutions Engineeringmaking contributions toopen source andplatforms easier to use

Data Scientistmachine learning and AIand experience in developinglso have deep industry experienceenthusiasm forRetail and ecommerce, you will be working side-by-side with high-impactand strategicYou willcommunicate trends and innovative solutions to stakeholdersYou will work cross-functionally with several teams includingprogram management

Required Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., modeling structured and unstructured data, applying statistical techniques and reportingresults)
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., modeling 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 10+ years data science experience (e.g., modeling structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.
• 3+ yearsin acustomer-facingrole (Internal / external),withproject-delivery experience.

Preferred Qualifications:

• Doctorate in Data Science, Mathematics,Statistics, Econometrics, Economics, Operations Research, Computer Science,Physics,or related field AND10+ years data-science experience (e.g., modeling 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 12+ years data-science experience (e.g., modeling 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 14+ years data-science experience (e.g., modeling structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.

• 5+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.
• Demonstrated industry knowledge and experience in retail and consumer goods industry.
• Experience working as part of geographically dispersed, diverse, and virtual teams.
• Enjoy travel and are comfortable with travel up to 25%.
• Demonstrated ability to work with customers and collaborate across company boundaries.

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

Business Understanding and Impact

• Leads data-science projects or teams to align with business needs and deliver value.
• Brings new value to the business byleveraging your industry experiencein terms of whereresources and business needs should be allocated.
• Leverages extensive experience to drive best practices for discovering, implementing, and maintaining transformative data-sciencesolutions

Data Preparation and Understanding

• Leads data acquisition and understanding efforts for engineering projects using various tools and techniques, and develops deep business insights based on data understanding.

Modeling and Statistical Analysis

• Develops and applies ML frameworks and best practices for scalable and ethical solutions.
• Has deep mathematical understanding of statistics and machine learning
• Incorporates best practices for ML modeling with consideration for artificial intelligence (AI) ethics.
• Carries the mindset of data-centric artificial intelligence.

• s,supports,and provides best practices for data analysis and modeling techniques.
• Ensures selected modeling techniques are appropriate based on business insights and data understanding, and align with desired project outcomes.
• Decideonthe nextsteps (e.g., deployment, further iterations, new projects).

• Provides feedback, drives improvement, and shares knowledge as a data scienceand industryexpert.
• Apply deep expertise to drive novel customer experiences, including early access engineering programs.
• Applies expertise to mitigate technical customer escalations.

Coding and Debugging

• Writes and debugs code for complex projects and leads solution development and deployment.

Business Management

• Leads ML and data-science partnerships and IP improvement.
• Partners with diverse Microsoft teams to identify and explore opportunities for the novel application of machine learning (ML) and other data-science tools to above industry.

Customer/Partner Orientation

• Provides customer-oriented insights and solutions by understanding the business, product, data, and customer perspective.
• Develops new techniques/methodologies for building solutions for a specific business need based on available data.