Principal Applied Scientist – Sales Insights Platform

Principal Applied Scientist – Sales Insights Platform

Redmond, Washington, United States

Work site : 4 days / week in-office

Travel : 0-25 %

Role type : Profession

Employment type : Full-Time

Overview

We are building a scalable , Azure-based analytics platform that delivers rich, customer-level sales insights and proactive alerts to Microsoft’s internal sales and account management teams. This platform provides a comprehensive view of each enterprise customer by surfacing insights like abnormal revenue changes, share-of-wallet opportunities, peer benchmarks, competitive keyword gaps, and product feature adoption health, on a daily and real-time basis.

The underlying system leverages traditional machine learning models for data-driven analysis and augments the delivery of insights with agentic inter‑operation using large language models (LLMs) to generate meeting briefs, pitch assets, follow‑ups, and safe CRM updates for our sales agents.

As a Principal Applied Scientist , you will define technical vision and lead the development of both the ML and LLM components of this platform, ensuring it scales across millions of data points and delivers trusted, actionable intelligence that drives business decisions.

This role is available in either Redmond, WA or Mountain View, CA .

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Qualifications

Required Qualifications :

• Bachelor’s Degree in Computer Science, Statistics, Electrical / Computer Engineering, or related field AND 6+ years of related experience (e.g. machine learning, data science, AI product development);
• OR Master’s Degree in a related field AND 4+ years of related experience;
• OR PhD in a related field AND 3+ years of related experience;
• OR equivalent experience.
• 5+ years of experience with developing and deploying machine learning solutions in production
• with proven ownership of complex projects end-to-end (from problem formulation and data acquisition to model deployment and monitoring).
• 3+ years of technical leadership experience in an applied science or data science team setting – this could include leading a team of scientists or acting as the key technical decision-maker on cross-discipline projects, with responsibility for delivering major features or systems.
• 3+ years of extensive hands-on expertise in ML techniques for predictive analytics, pattern recognition, and optimization. You should be comfortable selecting and tuning algorithms for regression, classification, clustering, time-series forecasting, etc., and understand their trade-offs.

Preferred Qualifications :

Programming & Data Infrastructure : Proven coding skills in ML-focused languages (e.g., Python), experience with frameworks like PyTorch / TensorFlow, and familiarity with data pipelines and databases.

Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here : https : / / careers.microsoft.com / us / en / us-corporate-pay

Microsoft will accept applications and processes offers for these roles on an ongoing basis.

Responsibilities

Benefits / perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and / or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations .

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