Senior Data Scientist - Copilot Insights

Microsoft Corporation•Redmond, WA

26d

About The Position

Copilot Insights is a data driven team looking to uncover insights about customer usage of Copilot and find ways to add customer value through the Copilot features and interactions we build inside of Office. The Copilot Insights team delivers insights and analysis that drives the features and investments that Office makes to add value to customers' lives through Copilot! Our team is about empowering organizations and individuals to unlock their full potential using Copilot within Office. We are looking for a Senior Data Scientist - Copilot Insights to join our team. In this role, you will collaborate with Engineers, Product Managers, Data and Applied Scientists, as well as business and AI leaders to design and develop AI/ML solutions that address business needs. Responsibilities include defining Copilot metrics, supporting experimentation systems, and developing evaluation frameworks for Copilot investments. 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

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ 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 3+ 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 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience.
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.

Nice To Haves

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ 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 5+ 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 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience.
4+ years of technical leadership in designing and scaling generative AI pipelines (retrieval augmented generation (RAG), finetuning, evaluation frameworks), with deep knowledge in transformer models and architectures.
1+ year experience building generative AI applications.

Responsibilities

Develops extensive knowledge in the domain and technical framework, notably in Large Language Models (LLM), plays a role in advancing product development through ongoing awareness of industry trends and technologies, and continuously finding insights that drive product investment decisions.
Assesses business needs and integrates research to achieve business objectives. This role involves guiding the selection of data to address issues strategically, leveraging knowledge to design, measure and build AI applications to drive tangible business results.
Records ongoing work and experimental findings, sharing them to encourage innovation.
Assesses the effectiveness of models and collaborates with product teams to design AI-driven experiences.
Communicates and educates team members (engineers, product managers, leadership) on Data Science principles and methodologies so that they understand the models being built, conclusions being drawn, why the model was chosen, and how to interpret the results.
Applies concepts to practical models and innovate at the speed of our business. It is critical that we ship models and enhancements on an on-going basis to empower us and our partners to focus our Copilot efforts across Office.
Embody our culture and values.

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