Principal Data Scientist

Overview

Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day?

The Industry Solutions Delivery (ISD) Engineering & Architecture Group (EAG) is a global consulting and engineering organization that supports our most complex and leading-edge customer engagements. Driving early-stage deliveries, enhances ISD’s technical capabilities, and partnering with others to develop approaches, innovative solutions, and engineering standards in order to set our sales and delivery teams up for success. Leveraging the principles of model, care, and coach, we provide consistent high-quality customer experience through technical and AI leadership and IP capture centered on delivery truth.

Responsibilities

Business Understanding and Impact

• Leverages subject matter expertise to analyze problems and issues facing projects to uncover, manage, and / or mitigate factors that can influence final outcomes across product lines. Partners with business team to drive strategy and recommend improvements. Raises opportunities to look for new work opportunities and different contexts to use existing work. Establishes, applies, and teaches standards and best practices. Design AI solutions to meet the complex business requirements.

Data Preparation and Understanding

Modeling and Statistical Analysis

Evaluation

Industry and Research Knowledge / Opportunity Identification

Coding and Debugging

Business Management

Customer / Partner Orientation

Other

Embody our culture and values

Qualifications

Required / Minimum Qualifications

Bachelor's degree in data science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years 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 10+ years data‑science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

Benefits / perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and / or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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