Principal Applied Scientist

Microsoft•Redmond, WA

51d

About The Position

The Business Applications & Platform (BAP) organization at Microsoft is among the most thrilling to be a part of. BAP products herald a new era of business applications that are data-initiated, AI-driven, built for collaboration, and simplify business problem-solving with low-code/no-code platforms. Our team is responsible for developing the Dynamics 365 suite of business applications and the Power Platform suite of low-code tools. We are at the vanguard of digital transformation, enabling organizations to revolutionize the creation of Copilots through state-of-the-art AI solutions and product offerings. This new productivity era leverages the power of data, AI, and productivity tools to deliver unmatched experiences across all channels. As a Principal Applied Scientist on the Dataverse core platform team, you will collaborate with business and AI leaders, internal business users, and Partners to identify, explore, and develop AI/ML solutions that address their business requirements. Our approach to innovation and collaboration with partners and customers is highly agile. If you are excited by the prospect of working with a diverse team to enable end-to-end business scenarios using cutting-edge AI technologies and tackling challenging problems for large-scale 24x7 business SaaS applications, we would be delighted to have a conversation with 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.

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
OR equivalent experience.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Nice To Haves

Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
OR equivalent experience.
Publication track records at top conferences like ACL, EMNLP, SIGKDD, AAAI, WSDM, COLING, WWW, NIPS, ICASSP, etc.

Responsibilities

As a Principal Applied Scientist, you will lead a 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.
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.

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