Principal Data & Analytics Scientist at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

18 Feb, 26

Salary

0.0

Posted On

20 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Statistical Techniques, Programming Languages, Experimental Design, Collaboration, Problem Solving, Communication, Metrics Definition, User Insights, Business Value Measurement, Data Collection, System Building, Analytical Skills, Cross-group Collaboration, Data-driven Workflows, Independent Decision Making

Industry

Software Development

Description

As a Principal Data & Analytics Scientist in the team, your major responsibilities include: Product Insights: Deliver and interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve products. Measurement: Define, invent, and deliver metrics which accurately measure user and business value across various products and marketplace components. Experimental Design & Implementation: Think critically about sampling and experimental design across User and Demand dimensions. Translate strategy into plans that are clear and measurable, with progress shared out to stakeholders. Collaboration: Partner effectively with program management, engineers, and other areas of the business across our Consumer online business Influence: engage with stakeholders to produce clear, compelling, and actionable insights and data-driven workflows that influence product and service improvements. Make independent decisions for the team and handle difficult tradeoffs Translate strategy into plans that are clear, actionable and measurable to drive impact. Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years 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 10+ years 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 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) 5+ years of experience in at least one of programming languages like Python/R/MATLAB/C#/Java/C++ 5+ years of experience with real world system building and data collection, including design, coding and evaluation Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, Business Analytics, Management or related field AND 10+ years 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 12+ years 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 15+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Experience in organizational, analytical, data science skills and intuition Ability to solve problems that the world has not solved before Cross-group and cross-culture collaboration. Experience to communicate insights to senior leaders. Experience with driving large collaboration across multiple teams. Experience with communicating with different audiences to provide insights Demonstrated experience in applying statistics, experimentation and metrics to generate clear actionable insights.

Responsibilities

The Principal Data & Analytics Scientist is responsible for delivering product insights, defining metrics, and designing experiments to improve products. Collaboration with various stakeholders is essential to influence product and service improvements.