Principal Applied Scientist Manager - Microsoft Weather

We are currently seeking a Principal Applied Scientist Manager with a robust background in Machine Learning and Weather Science to lead the Microsoft Weather AI Forecast Science Team. Our team is globally recognized as the most accurate weather forecast provider (press release , official evaluation), serving over 1 billion users. If you’re passionate about artificial intelligence and product development at web scale, this role might be a perfect fit for you. 

You will drive innovation in weather forecast modeling. This involves research and development in forecast models, including deep learning, transformers, GANs, diffusion, CNNs, foundational models, and ensemble forecasts.  You will leverage our strengths in user data and weather data to advance enhance our forecasting capabilities.  You will drive an exceptional vision and strategy to disrupt weather forecast, and build strong collaborations with academia.  We are looking for an experienced leader who can make a direct impact to 1B+ users globally, algorithmic improvements to online and offline systems, develop and deliver robust and scalable solutions, and continually improve our KPIs.   

The Commerce, Feeds and Verticals organization specializes in building personalized and engaging products around news, shopping, weather, sports, finance, and gaming that can scale to 1B+ Microsoft users on desktop and mobile. 

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..

Our Culture: Microsoft Culture 

Our Team: Inside Microsoft's Web Experiences Team 

Responsibilities

• Responsible for weather forecast quality and science strategy globally.   
• Building and delivering technical vision, strategy, and roadmap to be the #1 weather product in the world. 
• Leading and managing a science R&D organization to deliver world-class weather forecasts and strong industry presence as a world-class leader in technical acumen. 
• Collaborating with global product engineering teams to build high quality product experiences and robust and scalable platform solutions. 
• Embody our Culture and Values

Qualifications

Required/Minimum Qualifications

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• 5+ years working on weather forecast or data problems eg. nowcasting, gridded forecast, severe weather forecast, global modeling, regional modeling.
• 5+ years on large scale and state-of-the-art machine learning and deep learning technologies. In particular, hands-on experiences with deep learning models such as (Diffusion Neural Networks (DNN), Attention, Convolution Neural Networks (CNN), Recursive Neural Networks (RNN) and frameworks (PyTorch, TensorFlow, Keras, etc.)
• 1+ year(s) people management experience.

Additional or Preferred Qualifications

• Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate