Principal Data Scientist

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At Microsoft Power Automate, we are on a mission to empower every individual and every organization to achieve more through automation. We are transforming Process Automation by seamlessly integrating Digital (API) and Robotic (UI) Process Automation. In this “Age of AI”, we are at the forefront of leveraging the transformative power of generative AI to make authoring and execution of automations seamless, reliable and easy for all.

We are looking for a Principal Data Scientist in Power Automate.

This role is for an individual who has a desire to create seamless, intuitive, delightful experiences that will be validated using a data driven approach. This is an opportunity to work at the forefront of AI technologies and to partner with multiple teams both inside Microsoft and across the industry.

This role will be expected to architect, design and implement highly scalable and reliable AI solutions, including but not limited to application of LLMs/SLM to business problems, fine-tuning models to solve the hardest problems, prompt-engineering with advance techniques for Retrieval Augmented Generation and orchestration between cutting-edge frontier models.

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.

Required 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
• 2+ years of generative AI experience

Other Requirements

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications

• Experience building scalable applications and services, on scalable cloud platforms. with robust performance, resiliency and security.

• Experience with delivering end-to-end features with AI using techniques for data preparation and curation, for prompt engineering, for model fine-tuning, for model evaluation, for model orchestration and for end-to-end operational excellence.

• Experience working with LLMs like OpenAI's GPT

• Proficiency in fine-tuning pre-trained models on domain-specific datasets

• Experience in working with REST APIs for RAG and interacting with LLM-based systems.

Data Science 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 for the role until July 14, 2025

#BICJOBS

• Lead data science efforts in Power Automate.
• Translate business requirements into concrete deliverables, including design, development, testing, and deployment of analytical solutions and scalable AI/ML solutions covering data-set preparation, prompt-engineering, model fine-tuning and agentic model orchestration.
• Bring structure to problems, decomposing them into scalable solutions that drive measurable business impact.
• Deliver high quality features with agility.
• Incubate and prototype AI features with emerging technologies, latest AI models and frameworks.