Microsoft Principal Data Scientist 

Netherlands, North Holland, Amsterdam 

616150507

Industry Solutions Engineeringmaking contributions toopen source andtools andplatforms easier to use

Data Scientistdeep emachine learning and AIand experience in developinglso have deep industry experience in, Telecommunications, 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 data-science experience (e.g., managing 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 data-science experience (e.g., managing 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 data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.
• Customer-facing, project-delivery experience, professional services, and/or consulting experience.

Preferred Qualifications

• Experience working as part of geographically dispersed, diverse, and virtualteams.
• Enjoy travel and are comfortable with travel up to25%.
• Demonstrated ability to work with customers and collaborate across company

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.
• Brings new value to the business byleveragingyour industry experiencein terms of whereresources and business needs should beallocated.
• Leverages extensive experience to drive best practices for discovering, implementing, andmaintainingtransformative data-sciencesolutions

Data Preparation and Understanding

• 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.
• Has deep mathematical understanding of statistics and machine learning
• Incorporates best practices for ML modeling with consideration for artificial intelligence (AI) ethics.

• ,supports and provides best practices for data analysis and modeling techniques.
• Ensures selected modeling techniques areappropriateand align with desired project outcomes.
• Decideonthe nextsteps (e.g., deployment, further iterations, new projects).

• Serves as industry thought leader in data science in either of following fields:Manufacturing, Energy, Mobility, Telecommunications.
• Provides feedback, drives improvement, and shares knowledge as a data scienceand industryexpert.
• Apply deepexpertiseto drive novel customer experiences, includingearly accessengineering programs.
• Appliesexpertise

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.
• Partners with diverse Microsoft teams toidentifyand 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.