Principal Data Scientist

Microsoft

Quick summary

Work type
On-site
Location
CANY
Salary
$139,900–$274,800 / yr
Posted
71 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $165k
This role $207k
$98k most similar roles pay here $294k

This role pays more than 78% of similar roles. Most pay $129,501–$199,850 — the shaded band above. At the midpoint, this role pays about $207k versus about $165k for comparable roles.

Based on 240 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 622 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 559 roles with salary data.

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · Principal Data Scientist

Role Posting Log in to save

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 requires deep technical expertise in machine learning and statistical analysis, coupled with strong consulting skills for stakeholder engagement. You will mentor a team of data scientists and engineers, ensuring the integrity and scalability of data models while integrating them into customer systems. Key responsibilities include developing scalable code, applying ethical AI principles, and leveraging Microsoft products to solve complex business problems. The ideal candidate has 3-5 years of consulting experience and expertise in deploying agentic AI solutions, demonstrating a commitment to Responsible AI practices and industry thought leadership.

Skills

Python SQL MachineLearning AI DataVisualization Azure AWS Kubernetes Docker CI/CD Git Scikit-learn TensorFlow PyTorch PostgreSQL ResponsibleAI EthicalStandards CloudComputing DevOps

What you'll do

  • Lead the design and development of Data Science and broader AI solutions for teams.
  • 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 to define business needs and create roadmaps for performance improvements.
  • Uphold ethical standards by emphasizing Responsible AI principles throughout the process.
  • Mentor and lead the next generation of data scientists within the team.

What we're looking for

  • Extensive experience in data science and machine learning projects
  • Proven leadership in designing and implementing advanced analytics solutions
  • Strong ability to engage with business stakeholders and communicate insights effectively
  • Expertise in preparing, exploring, and visualizing large datasets for analysis
  • Demonstrated success in mentoring and developing the next generation of data scientists
  • Deep understanding and application of Responsible AI principles
  • Experience in deploying agentic AI solutions and consulting in technical or management roles

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