# Principal Data Scientist

**Company**: Microsoft AI
**Location**: Redmond
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $139,900 - $274,800 per year
**Category**: Engineering
**Industry**: Technology

**Apply**: https://microsoft.ai/job/principal-data-scientist-12/
**Canonical**: https://yubhub.co/jobs/job_c558d64e-525

## Description

Microsoft AI (MAI) is seeking a Principal Data Scientist to drive Microsoft Content measurement strategy and partner across product and business. The successful candidate will have a strong background in data science, with expertise in machine learning, statistical modeling, and data analysis. They will be responsible for developing and implementing data-driven solutions to improve the effectiveness of Microsoft Content.

Responsibilities: Mentor data scientists to drive Microsoft Content product analysis and provide insights. Partner closely with Microsoft Content Dev/PM Team and data scientists from other Product (Edge, Copilot, Ads and Search.) Develop Agent for data analysis across Microsoft Content Org. Provide daily analysis, including standardized data collection, analysis, reporting, and interpretation; validate analytical approaches and results. Apply LLM based AI skills, statistical modeling, data mining, and experimentation to large datasets; define and deliver metrics that accurately measure user and business. Design and execute experiments across user and demand dimensions; translate strategy into clear, actionable, and measurable plans, sharing progress and results with stakeholders. Engage stakeholders with clear, compelling, and actionable insights; make independent decisions for the team and handle complex tradeoffs to drive product and service improvements. Develop and standardize AI Agents for data analysis across the whole Microsoft Content and expand to other Product Org. Establish and uphold standards, policies, and best practices for high-quality, efficient, and extensible code; influence business, customer, and solution strategy with a solid customer focus; act as a trusted advisor.

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 techniques and reporting results) 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 techniques and reporting results) OR equivalent experience.

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.

#MicrosoftAI

## Skills

### Required
- Data Science
- Machine Learning
- Statistical Modeling
- Data Analysis
- Python
- C#
- Java

### Nice to have
- LLM based AI skills
- Data Mining
- Experimentation