Microsoft Principal Data Science Manager 

United States 

114479018

• 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.
• 3+ years people-management experience.
• 5+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.

• Demonstrated experience as an organizational leader with over three years of experience recruiting and managing data scientists, program/product managers, business/data analysts, or related roles from industry and/or academia.
• Functional knowledge of cloud computing and online services business models, including business, technical, financial, and operational measurements.
• Proven business acumen to identify projects that best support overall business strategy and apply relevant data insights to strategic goals.
• Proficient quantitative, data modeling, and statistical skills, including causal inference, resampling techniques, mixed effects models, significance tests, etc.
• Proficient in tools for navigating and analyzing data (SQL, Azure Data Explorer, R, Python, Databricks, etc.).
• Experience with machine learning algorithms for forecasting, clustering, classification, recommendation systems, NLP, etc.
• Proficient written and oral communication skills, with the ability to synthesize complex problems/scenarios into easy-to-understand concepts.
• Capable of delivering compelling presentations to audiences at all levels of the organization.
• Ceative, innovative, and organized thinker with high attention to detail.
• Self-driven to continuously learn and bring a growth mindset to problem-solving.
• Effective time management in complex, ambiguous, deadline-driven environments.
• Proven ability to create a healthy team culture of diversity, inclusion, belonging, and collaboration.

People Management

· Managers deliver success through empowerment and accountability by modeling, coaching, and caring.

· Model - Live our culture; Embody our values; Practice our leadership principles.

· Coach - Define team objectives and outcomes; Enable success across boundaries; Help the team adapt and learn.

· Care - Attract and retain great people; Know each individual’s capabilities and aspirations; Invest in the growth of others.

• Set the vision, drive prioritization, and guide technical approaches for leveraging data across all of CE&S to identify and pursue the right business opportunities.
• Hire and develop top talent - build and cultivate a highly functioning team of data scientists grounded in the objective truth of the measured customer experience.
• Utilize LLMs and other AI technologies to revolutionize data science practices within the team, enhancing the speed, accuracy, and scalability of data analysis and insight generation.• Create and maintain a data science and analytics roadmap. Run sprint/quarter/semester planning and foster cross-team collaboration to deliver complex projects.
• Establish success measures that set a high bar of achievement for our organization and drive accountability through our team and partners.
• Serve as a leader within the organization by creating clarity, inspiring others, and delivering high quality.

Other Responsibilties:

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