Principal Applied Scientist

• Discovering diverse content on the Web quickly and efficiently by understanding the structure and dynamics of the Web and optimizing crawl scheduling;
• Building Big Data pipelines, creating ML and AI models for index selection, and determining document quality;
• Designing and implementing models and pipelines for near-real time (NRT) indexing and content freshness;
• Designing and implementing methods for leveraging AI in platform and backend solutions.

This is a great opportunity for someone who loves to tackle deep technical challenges and strives for industry-wide impact. At this role, you'd be instantiating new technology into production by advancing the state-of-the-art internally and externally to address Web Data product needs.

You will work on the design, development, execution, and implementation of technology research projects. You will use scientific principles and techniques to develop, evaluate, operate, and/or deploy algorithms and solutions to improve or contribute to the creation of features and models with the highest system performance, quality, data management, and accuracy.

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.

Responsibilities

• You will master a broad area or research and understand any applicable research techniques. You’ll also serve as a team expert on changes in industry trends, products, and other advances, and apply this knowledge to influence product needs.
• You will review business and product requirement, incorporate research, and provide strategic direction for problem solving. You’ll also ensure scientific rigor, support the development of methods, and apply your expertise to support business impact.
• You will identify and inspire peers and new research talent to join Microsoft, build relationships, and advocate for research initiatives. You’ll share research findings through industry outreach, collaborate with the academic community, and help develop the recruiting pipeline.
• You will document work and experimentation results and share findings to promote innovation. You’ll provide guidance when capturing processes and contribute to ethics and privacy policies related to research processes and data collection.

Qualifications

Required 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.
• 6+ years of experience with artificial intelligence and data science including machine learning, deep learning, data mining, and natural language processing

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 in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic pap