Principal Data Scientist

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We’re working on Microsoft Teams Calling, Meetings and Devices. If you're passionate about building cutting-edge solutions that empower teamwork and communication, we want to hear from you! Microsoft Teams is the central hub for teamwork, bringing together people, content, and tools to enhance team engagement and effectiveness. It plays a pivotal role in Microsoft’s vision for modern work, modern life, and AI. We are revolutionizing how people communicate and collaborate across the globe.

A key part of this role will be supporting the development of exciting new AI tools for meetings. You will be working with a best-in-class product team to build the future of AI in meetings. You will be helping ideate, launch and measure these advances in meeting AI capabilities.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Required Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ 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 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techn
  • OR Bachelor'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 te
  • OR equivalent experience.
• 5+ years partner-facing, project-delivery experience, professional services, and/or consulting experience.
• 5+ years of experience in data science modeling, statistics, analytics, business intelligence, or data-driven business strategy.
  
• 5+ years of strong hands-on skills in SQL, and R or Python to implement statistical models, machine learning, and analysis (prediction, classification, clustering, time series forecasting, regression models, etc.).
  
• Proficiency using one or more programming or scripting language like Python, R, SQL work with data.

Preferred Qualifications:

• 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) OR equivalent experience.
• Master’s Degree or higher in data science, Statistics, Computer Science, Engineering or another quant-focused field
• Strong partnership, collaboration, and interpersonal skills
  
• Experience with experiments, machine learning, deep learning, anomaly detection, predictive analysis, exploratory data analysis, and other areas of data science
  
• Experience driving data science practices & methodology improvements across disciplines including Finance, Marketing and Engineering

Data Science IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until September 3rd, 2025.

• Strategy: Translate strategy into plans that are clear and measurable, with progress shared out monthly to stakeholders.
• Measurement: Define, invent, and deliver metrics which accurately measure the quality of online information, and the satisfaction/success of our customers.
• Models: Develop ML/Statistical models to measure/predict the quality of online content and/or user interactions with large scale AI systems.
• Experimental Design: Think critically about sampling and experimental design. Developing innovative strategies and products in these areas.
• Product Iteration: Interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve.
• Cooperation: Partner effectively with product management, engineers, and other areas of the business.
• Influence: engage with stakeholders to produce clear, compelling, and actionable insights and data-science driven workflows that influence product and service improvements.