Principal Data & Applied Scientist Manager

We are seeking a Principal Data & Applied Scientist Manager with a passion for business impact and innovation. The Feeds and Verticals team in Microsoft AI is seeking a leader in data science to drive the next generation of growth through intelligence and analytics.  This role has significant opportunity for product and user impact across Web Experiences in Microsoft AI by creating feeds and vertical experiences for over 500M users building a durable daily habit.  

On the Feeds and Verticals team, our goal is to help users discover new content as they start their online journey with contextual, personally relevant, engaging and  performant feed experiences. We are building the next generation experiences focusing on driving growth and engagement on Windows and Edge with pages on desktop and mobile devices.

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. 

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. 

Responsibilities

• Define and communicate a vision for an extensive data scientist effort directly managing data scientists and directly coordinating with many cross teams 
• Work with partner teams such as Edge, Feeds and Verticals Feature team, and others to deliver coordinated value and services 
• Establish rigorous engineering processes and data-driven principles to ensure service quality, predictable delivery of new capabilities, analytics, insights, and continuously improving metrics. 
• Develop a long-term roadmap to ensure key business metrics are continuously tracked and improved, trends are identified and predicted from data to guide the business growth, researches / data mining / experiments are conducted to continuously provide recommendation to the product teams. 
• Create scalable data solutions and processes to ensure underlying telemetry data are correctly logged and flexible to conduct different types of analysis.   
• Develop talent and grow your team into a performing healthy data scientist organization. 
• Establish a positive, mutually supporting, inclusive team culture consistent with Microsoft cultural attributes, values, leadership principles and manager expectations

Other

• Embody our Culture and Values

Qualifications

Required Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ 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 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.

Preferred Qualifications: 

• 5+ years working on Web services and/or mobile app data.  
• 5+ years leading data scientist teams defining key metrics, shipping analytics, reports and deploying models in real world environments. 
• Experience with large scale data process infrastructure, such as Cosmos/Scope/Spark, and analytics tools. 
• Experience working on large-scale projects across divisions, ensuring upstream instrumentation/telemetry is in place to gather required business insights, driving complex key business metrics development and analysis to meet agile business needs.
• Problem-solving skills with a solid understanding of advanced statistics, data science, machine learning. 
• Ability to make compelling visualizations using Excel and PowerBI or other data analysis tools such as Tableau, SAS, or R. 
• Deep machine learning understanding - proven ability to develop machines learning models to improve metrics, predict trends, conduct user segmen