Senior Applied Scientist at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Mar, 26

Salary

0.0

Posted On

02 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistics, Predictive Analytics, Research, Python, C++, C#, AML, PyTorch, TensorFlow, Scikit-learn, Pandas, Data Analysis, Ethics, Privacy Policies, Publications, Live Production Systems

Industry

Software Development

Description

You will master one or more subareas and gain expertise in a broad area of research, including applicable research techniques. You'll also gain deep knowledge of a service, platform, or domain, and identify product needs by sharing the latest industry trends and applied technologies. You will review business requirements and incorporate research to meet business goals. You‘ll provide strategic direction for the kinds of data used to solve problems and apply deep subject matter knowledge to support business impact. You will participate in onboarding of early career team members and assist in developing academics to be members of multidiscipline teams. You will document work in progress and experimentation results and share findings to promote innovation. You'll also use your deep understanding of fairness and bias to 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 4+ 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 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) 4+ years of experience building AI-powered products, large-scale data analysis, information retrieval or evaluation systems. 4+ years of experience in Python, C++, C# or AML, with scientific computing libraries such as PyTorch, TensorFlow, scikit-learn, or pandas. 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 6+ 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. 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). Experience presenting at conferences or other events in the outside research/industry community as an invited speaker. 3+ years experience conducting research as part of a research program (in academic or industry settings). 1+ year(s) experience developing and deploying live production systems, as part of a product team. 1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.

Responsibilities

You will gain expertise in research techniques and identify product needs by sharing industry trends. You will also document work and share findings to promote innovation while contributing to ethics and privacy policies.