Senior Data Scientist

Microsoft

Quick summary

Work type: On-site
Location: US
Salary: $119,800–$234,700 / yr
Posted: 23 days ago
Closes: Dec 1, 2026
Nearby: 93 roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $162k

This role $177k

$99k most similar roles pay here $249k

This role pays more than 66% of similar roles. Most pay $126,800–$197,133 — the shaded band above. At the midpoint, this role pays about $177k versus about $162k 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 571 roles with salary data.

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · Senior Data Scientist

Role Posting Log in to save

As a Senior Data Scientist at Microsoft, you will lead the 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. Your day-to-day involves collaborating with stakeholders to define complex problems, developing project plans, and deploying predictive models using modern machine learning techniques on large datasets. You will also engage in consulting and stakeholder management, ensuring solutions meet ethical standards while promoting responsible AI practices. The role requires proficiency in Python and SQL, experience with Azure cloud platforms, and a strong background in data science, mathematics, or related fields, along with expertise in version control, testing, and production deployment of ML solutions. This position is ideal for those passionate about leveraging AI to transform businesses on a global scale.

Skills

Python SQL Azure Responsible_AI DevOps Version_Control Testing Agentic_AI CI/CD MLOps Prompt_Engineering Large_Language_Models Generative_AI Machine_Learning Data_Visualization Cloud_Platforms

What you'll do

Own delivery of complex data science projects for strategic engagements.
Translate business problems into actionable AI solutions with stakeholders.
Design and integrate generative AI applications into client workflows.
Write efficient code and ensure scalability in production environments.
Present findings to senior stakeholders using compelling storytelling techniques.
Promote responsible AI practices, ensuring fairness and transparency.
Stay current with emerging AI technologies and tools.

What we're looking for

Doctorate in a relevant field with 3+ years of data science experience or equivalent.
Proven consulting skills and ability to influence decisions through stakeholder engagement.
Proficiency in Python, SQL, and cloud platforms (preferably Azure).
Knowledge of Responsible AI principles and ethical data practices.
Experience with software engineering lifecycle practices including DevOps.
Background in developing and deploying Agentic AI solutions.
Familiarity with AI-assisted coding practices and specification-driven development.

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