limitedDistribution · Industry Research
Principal Data Scientist | Microsoft AI
Microsoft AI is seeking a Principal Data Scientist to join their Growth and Analytics team. The role involves creating AI-powered web experiences that enhance productivity and provide personalized content. The position requires collaboration with cross-functional teams to analyze large datasets, develop dashboards, and improve product relevance through data insights.

Microsoft AI's use of data insights aligns with Stargo's Stardox for enhancing productivity through AI-powered content personalization.
Executive Summary
Microsoft AI (MAI) creates innovative AI-powered and personalized web experiences in Microsoft Windows, Edge & Bing, that inform, entertain, add value, save money, and breathe productivity into the life and work of millions of customers. MAI makes the web work for our consumers, advertisers, and publishers in a safe environment where everyone can get informed, entertained, save money and thrive! MSN is a personalized content feed powering user experiences across Microsoft. Our mission is to empower every person on the planet to be informed, entertained, and inspired. We are looking for an experienced Principal Data Scientist to join our Growth and Analytics team. Work with a host of engaged stakeholders who value your skills and consider you a thought partner in driving the business. Collaborate with cross-functional teams to understand features, estimate impacts and drive engagement improvements based on insights from big data. Enhance products by evaluating performance metrics and user feedback. Develop self-service dashboards and reports for various stakeholders using reporting platforms. Analyze large datasets to identify patterns, trends, and content performance to improve the relevance and quality of our recommendation.
Source: Microsoft AI
Original Article: https://microsoft.ai/job/principal-data-scientist-22/
See ROI in 12 weeks
Stargo users see measurable return and operational profitability gains in just 12 weeks, with non-disruptive implementation in 4 weeks or less.