Microsoft Principal Data Scientist 

United Arab Emirates, Abu Dhabi Emirate, Abu Dhabi 

610884588

new solutionsa new technology

broadly applicable

Data Scientistwith deep experience in data management and

Required Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

• Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

• Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

• OR equivalent experience.

• 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.

• 5+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.

an informal and flexible work environment andbe welcome to work in the way that best enables you to get your job done

We invest in your health, wellness, and financial future by offering a competitive package including a wide range of benefits built around your personal needs and those close to you.

Business Understanding and Impact

• Leads data-science projects or teams to align with business needs and deliver value.

Data Preparation and Understanding

• Leads data acquisition and understanding efforts for engineering projects using various tools and techniques.

Modeling and Statistical Analysis

• Develops and applies ML frameworks and best practices for scalable and ethical solutions.

• Oversees review of data analysis and modeling techniques. Ensures selected modeling techniques areappropriateand align with desired project outcomes. Decides on next steps (e.g., deployment, further iterations, new projects).

Industry and Research Knowledge/Opportunity Identification

• Provides feedback, drives improvement, and shares knowledge as a data science expert.

Coding and Debugging

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

Business Management

• Leads ML and data-science partnerships and IP improvement.

Customer/Partner Orientation

• Provides customer-oriented insights and solutions by understanding the business, product, data, and customer perspective.