Senior Data Scientist M365 Copilot, Agents & Platform Turing Team
Job Location:
Redmond, WA - USA
Yearly Salary:
Posted:
Application Deadline:
Vacancies:
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Job Summary
Join the Microsoft Turing team and help shape the future of enterprise and consumer productivity with M365 Copilot.
Join a fast-paced high-visibility and diverse team delivering innovative platform capabilities and solutions across Microsoft to hundreds of millions of users every month. As a Senior Data Scientist on the Microsoft Turing team you will help transform how organizations use data by preparing and analyzing large-scale datasets designing evaluations running experiments and driving evidence-based decisions with measurable business impact. Youll work in small multidisciplinary crews alongside engineers product managers applied scientists and domain experts owning the analytical lifecycle from data discovery and study design through measurement insight generation and product recommendations.
Our work is powered by AI applying data experimentation and evaluation across the development lifecycle while maintaining the highest standards of security quality and trust. The Microsoft Turing team is an innovative applied research and engineering organization advancing large language models and pioneering conversational search experiences. We build core platform capabilities behind Microsoft 365 Copilot bringing AI-powered experiences into production at enterprise scale and transforming how organizations work every day. We spearhead platform innovation for multiple core Copilot experiences across Microsofts ecosystem.
We are a fast-growing team with a broad and evolving set of opportunities. Project assignments are shaped by your interests experience and strengths allowing you to grow while working on problems that matter to you.
Recent launches such as the Analyst agent in Microsoft 365 Copilot demonstrate the importance of rigorous measurement and evaluation across the AI stack. The Microsoft Turing team combines engineering and research excellence to advance large-scale AI this environment Data Scientists define measurement strategies build evaluation datasets design experiments and translate results into product recommendations while partnering with software engineers and applied scientists who develop and productionize the underlying systems and models.
Microsofts 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
Data Analysis & Evaluation Dataset Development
Write efficient readable code in Python SQL KQL or similar languages to prepare and analyze large-scale datasets including customer feedback text and consented multimodal logs.
Build representative evaluation datasets across enterprise and consumer scenarios including information retrieval text creation and editing image and file workflows shopping education coding technical support health sports news and finance.
Design evaluation coverage for text and voice inputs single- and multi-turn conversations and location- or geography-sensitive prompts.
Cross-Functional Collaboration
Partner with engineering product management and applied science teams to define measurement strategies and inform product decisions.
Share findings limitations and recommendations that improve Microsoft 365 Copilot experiences.
Experimentation & A/B Testing
Own experiment design and impact measurement for optimization hypotheses including success metrics guardrails and interpretation of results.
Contribute to response-quality side-by-side evaluations by designing studies and rubrics analyzing results and assessing statistical and practical significance.
Compare LLM-based and human evaluations validate alignment investigate false positives and branding bias and refine studies accordingly.
Insights & Decision Influence
Develop decision-relevant metrics dashboards and compelling narratives that translate analyses into actionable product recommendations.
Present findings and analytical limitations to technical and executive audiences build stakeholder support and guide decisions on key product initiatives.
Thought Leadership
Stay current with AI offerings and competitive developments using data and evaluation results to identify feature gaps and opportunities.
Provide mentorship through analytical code reviews study-design guidance innovation and sharing data science best practices.
Embody ourcultureandvalues.
Qualifications
Required Qualifications:
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 Masters 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 Bachelors 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.
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:
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications:
- 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 Masters Degree in Data Science Mathematics Statistics Econometrics Economics Operations Research Computer Science or related field AND 6 years data-science experience (e.g. managing structured and unstructured data applying statistical techniques and reporting results)
- OR Bachelors Degree in Data Science Mathematics Statistics Econometrics Economics Operations Research Computer Science or related field AND 8 years data-science experience (e.g. managing structured and unstructured data applying statistical techniques and reporting results)
- OR equivalent experience.
- 4 years of experience using Python SQL KQL R or similar languages to analyze large-scale structured and unstructured datasets.
- Experience driving effective cross-organizational communication end-to-end analytical problem solving collaboration customer focus and the ability to navigate ambiguity.
- Demonstrated ability to communicate technical details clearly across organizational boundaries.
- Demonstrated ability to work end to end in complex analytical problem domains from problem definition and study design through execution interpretation and communication of results.
- One Microsoft and Values: Self-driven and results-oriented with high integrity and a demonstrated ability to collaborate across disciplines solve complex problems with diverse groups and develop mutually beneficial solutions.
- Customer Obsession: Customer- and metrics-driven approach to evaluation experimentation and product decision-making.
- Growth Mindset: Demonstrated ability and motivation to learn enter new domains and manage through ambiguity.
Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119800 - $234700 per year. There is a different range applicable to specific work locations within the San Francisco Bay area and New York City metropolitan area and the base pay range for this role in those locations is USD $160200 - $261000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
position will be open for a minimum of 5 days with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age ancestry citizenship color family or medical care leave gender identity or expression genetic information immigration status marital status medical condition national origin physical or mental disability political affiliation protected veteran or military status race ethnicity religion sex (including pregnancy) sexual orientation or any other characteristic protected by applicable local laws regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process read more about requesting accommodations.
Required Experience:
IC
