| Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
Redmond, WA
Salary
$139,900–$274,800 / yr
Posted
55 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $181k
This role $207k
$101k most similar roles pay here $293k

This role pays more than 76% of similar roles. Most pay $155,000–$207,350 — the shaded band above. At the midpoint, this role pays about $207k versus about $181k for comparable roles.

Based on 238 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 1103 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 985 roles with salary data.

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

As a Principal Data Scientist at Microsoft, you will lead end-to-end delivery of strategic data science projects, partnering with customers and internal teams to design and implement advanced analytics and AI solutions that drive measurable business impact. This role involves deep technical work alongside consulting and stakeholder engagement, where you will leverage machine learning and statistical analysis to develop models, collaborate on code integration, and mentor a team of data scientists and engineers. You will use Python, SQL, and other tools to analyze large datasets, ensuring data integrity while upholding ethical standards in AI. With expertise in Agentic AI solutions and a background in consulting, you will address complex business challenges across various industries, fostering innovation and trust through transparent communication and responsible technology practices.

What you'll do

  • Lead the design and development of Data Science and broader AI solutions for a team.
  • Apply machine learning and statistical analysis to develop, train, optimize, and evaluate models.
  • Write efficient and scalable code, integrating data models into customer systems.
  • Collaborate with customers and Microsoft teams to define business needs and create performance roadmaps.
  • Uphold ethical standards by emphasizing Responsible AI principles throughout the process.
  • Proactively seek new knowledge and adapt to trends to improve product reliability and efficiency.

What we're looking for

  • Extensive experience in data science and machine learning projects.
  • Proven track record of leading teams of data scientists and engineers.
  • Strong ability to engage with business stakeholders and communicate insights effectively.
  • Expertise in designing, developing, and implementing advanced analytics and AI solutions.
  • Demonstrated commitment to ethical standards and responsible AI practices.
  • Experience in mentoring and training the next generation of data scientists.

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