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. 

We are looking for a Principal Data Scientist to join our team. 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 team members, enable end-to-end business scenarios using cutting-edge AI technologies and to solve  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.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Responsibilities

Key Responsibilities:

• Set Technical Direction: Define and drive the vision for advanced analytics, machine learning, and generative AI, ensuring alignment with product and business strategy.
• Deliver Scalable AI Systems: Lead the design, development, and deployment of large-scale ML/AI solutions (including LLM-based and traditional approaches) with measurable impact.
• Cross-Org Influence: Partner with engineering, product, and research teams to identify high-value opportunities, shape roadmaps, and establish AI/ML best practices across the organization.
• Mentorship & Leadership: Guide and develop a team of data scientists and engineers, fostering innovation and technical excellence.
• Experimentation & Evaluation: Establish frameworks for model evaluation, experimentation, and continuous improvement, ensuring reliability and responsible AI principles.
• Thought Leadership: Represent the team’s AI strategy, staying ahead of industry trends in LLMs, generative AI, and advanced analytics.
• Embody our culture and values 

Qualifications

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.
• 5+ years of Experience with design and implementation of enterprise-scale AI products.

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