Principal Data Scientist

Microsoft Dynamics 365 is a suite of easy-to-learn and easy-to-use business solutions tailored to any market, designed for any business size, and dedicated to growing business through happy customers. The Customer Service Applications Team delivers business applications for Connected Customer Care for Contact Centers! Our team is at the forefront of digital transformation, empowering organizations to revolutionize their customer service and contact center operations through cutting-edge AI solutions and product offerings, represents a new era of applications that harness the power of data, AI, and productivity tools to deliver unparalleled experiences across all channels.

As a Principal Data Scientist in the Microsoft Dynamics Customer Service Application team, you will work with business and AI leaders as well as internal business users and Partners to understand, explore and develop AI/ML solutions to solve their business needs.

We innovate and collaborate closely with our partners and customers in a very agile environment. If the opportunity to collaborate with a diverse team on enabling end-to-end business scenarios using cutting-edge AI technologies and to solve challenging problems for large scale 24x7 business SaaS applications excite you, we would love to talk to you!

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.

Responsibilities

As a Principal Data Scientist, you will be collaborate with a fast-growing team of skilled applied scientists and software engineers to implement these solutions and enhance customer experience, be responsible for implementing AI features towards a wide variety of business problems within Dynamics 365 products portfolio as well as ensuring they are done to meet rigorous quality standards with the result being software that is used by individuals and businesses throughout the world. In short you will do the following:

• Focus on particular aspects of our product, developing extensive knowledge in the domain and technical framework, notably in Large Language Models (LLM), and play a role in advancing product development through ongoing awareness of industry trends and technologies.
• Assess business needs and integrate research to achieve business objectives. Your role involves guiding the selection of data to address issues strategically, leveraging your expertise to design, measure and build AI applications to drive tangible business results.
• Record ongoing work and experimental findings, sharing them to encourage innovation.
• Assess the effectiveness of models and collaborate with product teams to design AI-driven experiences.
• You'll be involved in the onboarding process for new team members early in their careers, providing guidance and support as they join the team, and also assisting in coaching and mentoring other team members.
• Cultivate a supportive and inclusive team culture, offering technical guidance to fellow applied scientists and serving as a mentor.

Throughout your tasks, you will work closely with Program Managers and other Software Engineers to optimize design, quality and functionality as Microsoft places a premium on the ability to work well in a team environment. 

Other

• Embody our Culture and Values

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)
  • 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, Ope