Principal Data Scientist, Intelligence Automations

Every once in a while, a job comes along with the opportunity to positively affect the lives of every human on the planet. If you’ve been waiting for that kind of opportunity this may be the job for you.  

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 a diverse team with strong customer adoption, fast growing business and great analyst recognition.  

We are looking for a customer-obsessed data science leader who has a deep sense of pride in their work, who takes personal accountability for end-to-end quality and who has a strong 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. 
 

In this role, you will be working with a team of extremely talented and motivated individuals who are building the future of Power Automate. You 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.  This is transformative work for the product in close collaboration with the engineering and product teams. 

Responsibilities

As a Principal Data Scientist in Power Automate, you will:  

• 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.  

• Collaborate with a team of highly capable and motivated engineers, product managers and data scientists to deliver end-to-end systems and experiences. 

• Model, coach and drive operational excellence for AI features. 

• Infuse and cultivate a culture of data science and AI across the team. 

• 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.  

Qualifications

Required/Minimum Qualifications

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

           o  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)

          o 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)

           o OR equivalent experience.

• 5+ years of experience in C#, C++, Java or Python.  
• 3+ years people-management 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.  

• Hands-on 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. 

• A passion for improving AI & engineering practices; and producing high-quality software. 

• Self-motivated and customer focused. 

• Strong collaboration skills with the ability to work in a dynamic and agile environment. 

• Experience leading large cross-team initiatives 

Data Science M5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 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 $180,400 - $294,000 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 February 21, 2025

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work. https://careers.microsoft.com/us/en/us-corporate-pay

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