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Principal Applied Science Manager at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Feb, 26

Salary

0.0

Posted On

21 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Analytics, Statistical Modeling, Machine Learning, Deep Learning, NLP, Econometrics, Fraud Detection, Anomaly Detection, Predictive Analytics, Project Management, Problem Solving, System Integration, Cost Reduction, Latency Optimization, Scientific Rigor

Industry

Software Development

Description

Drive strategic impact by identifying and leading high-leverage data science and analytics initiatives across multiple teams Drive model inference optimization and system integration to reduce cost, latency and system optimization Apply advanced statistical modeling, machine learning, and analytics techniques to tackle complex problems such as fraud/anomaly detection, opportunities and business impact analytics. Design E2E solutions and drive projects from concept to production in a fast-paced, dynamic environment. 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. 1+ year(s) of people management experience. 3+ years of experience in statistics, machine learning, including deep learning, NLP, econometrics. These requirements include but are not limited to the following specialized security screenings: 3+ years of people management experience. Experience moving applied research into shipped product features. Experience in structure un-scoped problems, define success metrics, and drive execution under uncertainty. Analytical mindset with a data-driven approach to problem-solving, consistently upholding high standards of scientific rigor. Proven track record of owning and delivering technically challenging projects with measurable impact.

Responsibilities

Drive strategic impact by leading high-leverage data science and analytics initiatives across multiple teams. Design end-to-end solutions and manage projects from concept to production in a dynamic environment.