Principal Data Scientist Job at Microsoft Corporation (Multiple Locations)

Job Description

As a Principal Data Scientist, you will own end-to-end delivery of strategic data science projects and partner with customers and internal teams to design and implement advanced analytics and AI solutions that create measurable business impact. This role blends deep, hands on technical knowledge with consulting and stakeholder engagement, enabling you to influence decisions and guide adoption of data-driven strategies.

Job Responsibility

Leverage data science and business domain knowledge to improve business performance, evaluate project plans, communicate business goals, and share insights with business stakeholders
Lead the design and development of Data Science and broader AI solutions of a team of data scientists and engineers
Engage with business stakeholders to bring them along with business performance improvement with data and AI
Apprentice and generate the next generation of data scientists and actively participate and lead their mentoring
Acquire, prepare, and explore data through querying, visualisation, reporting techniques, and collaboration with other teams, ensuring data integrity
Apply machine learning and statistical analysis to develop models, train, optimise, and evaluate them, and communicate findings to stakeholders
Test, review, and improve models by analysing performance, incorporating feedback, and contributing to the review process
Write and debug efficient and scalable code while collaborating with engineering teams and integrate data models into customer systems
Collaborate with customers and Microsoft teams to define business needs, create roadmaps for performance improvements, and influence stakeholders using storytelling and visual tools to drive solution value
Uphold ethical standards by emphasizing Responsible AI principles in guiding stakeholders throughout the process
Focus on customer needs and perspectives to promote adoption and build trust
Develop and execute tailored solutions by overcoming obstacles and leveraging in-depth knowledge of Microsoft products
Maintain transparency about data limitations to set realistic expectations and ensure accountability
Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale and shares knowledge with other cross functional team members
Build an in-depth understanding of industry problems domain and apply both technical and domain knowledge to drive novel customer experiences
Write extensible code that solves complex business problems spanning the entire software development lifecycle
Define business, customer, and solution strategy goals, and partner with other teams to identify and explore new opportunities
Commit to a customer-oriented focus by acknowledging their needs and offer pragmatic customer solutions that align with their data capabilities

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience
OR equivalent experience
3 to 5 years of Consulting (including System Integrator, Technical Consulting or Management Consulting) experience
Experience developing and deploying Agentic AI solutions

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