# Principal Data Scientist

**Company**: Microsoft AI
**Location**: Redmond
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: Data Science IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year.
**Category**: Engineering
**Industry**: Technology

**Apply**: https://microsoft.ai/job/principal-data-scientist-18/?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_b56f1db3-0ed

## Description

We are looking for a highly motivated and experienced Principal Data Scientist to join our Growth and Analytics team. Our mission is to empower every person on the planet to be informed, entertained, and inspired.

As a Principal Data Scientist, you will build metrics system to measure Business Health and quickly identify the root cause when metrics move. You will collaborate with cross-functional teams to understand features, estimate impacts, and drive engagement improvements based on insights from big data. You will also enhance products by evaluating performance metrics and user feedback, develop self-service dashboards and reports for various stakeholders using reporting platforms, and analyze large datasets to identify patterns, trends, and content performance to improve the relevance and quality of our recommendation systems.

Responsibilities:

- Build metrics system to measure Business Health and quickly identify the root cause when metrics move.

- 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 systems.

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.

5+ years of experience in data science modeling, statistics, analytics, business intelligence, or data-driven business strategy. Previous web analytics, product analytics, and/or content analytics experience. Knowledge of Ads and content ecosystem. Interpersonal communication and ability to leverage the data to tell a story. Demonstrated stakeholder management ability including effective prioritization, clear and concise communication, and delivery of actionable data-driven insights.

## Skills

### Required
- data science
- machine learning
- statistics
- data analysis
- data visualization
- data mining
- data modeling
- data engineering
- data architecture

### Nice to have
- natural language processing
- computer vision
- deep learning
- reinforcement learning
- unsupervised learning
- supervised learning
- ensemble methods
- gradient boosting
- random forests

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Source: [Apply at microsoft.ai](https://microsoft.ai/job/principal-data-scientist-18/?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)