Principal Applied Scientist at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Feb, 26

Salary

0.0

Posted On

19 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Model Development, Evaluation, Metrics, A/B Testing, Statistics, Predictive Analytics, Research, Ethics, Privacy Policies, Publications, Presentations, Collaboration, Innovation, Customer Driven Design, Technical Problem Solving, AI Products

Industry

Software Development

Description

Build and deliver model-driven features from concept to production—spanning model development, evaluation, metrics, and A/B testing 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'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. 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) 4+ years of experience with end-to-end in a challenging technical problem domain (plan, design, execution, continuous release, and service operation). 4+ years experience with shipping internet scale, low latency and high throughput systems AI products. 4+ years experience with customer/End-result/Metrics driven in design and development. These requirements include but are not limited to the following specialized security screenings: 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 papers). 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker. Publications at top conferences like ACL (Association for Computational Linguistics), EMNLP (Empirical Methods in Natural Language Processing), SIGKDD (Special Interest Group on Knowledge Discovery and Data Mining), AAAI (Association for the Advancement of Artificial Intelligence), WSDM (Web Search and Data Mining), COLING (International Conference on Computational Linguistics), WWW (World Wide Web Conference), NIPS (Neural Information Processing Systems), ICASSP (International Conference on Acoustics, Speech, and Signal Processing), etc.

Responsibilities

The Principal Applied Scientist will build and deliver model-driven features from concept to production, ensuring scientific rigor and supporting business impact. They will also share research findings, collaborate with the academic community, and contribute to ethics and privacy policies related to research processes.