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Applied Scientist 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

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure, APIs, Python, Data Manipulation, Model Building, Business Applications, Quantitative Analysis, Data Mining, Demand Forecasting, SQL, No-SQL, Communication, Leadership, Statistical Techniques, C++, Java, JavaScript

Industry

Software Development

Description

Build and maintain ADO pipelines, and maintain Azure Assets (subscription, blob storage, SQL database, key vault, etc.) in a secure and compliant manner. Connect to and build APIs for turning data science models into a full production system. Develop and productionize E2E models in Python, including data manipulation, model building, and business applications. Apply expertise in quantitative analysis, data mining, and the presentation of data to develop demand forecasting models. Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND relevant internship experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience. - 2+ years' experience in applications of computer science, advanced statistical, analytical techniques or equivalent experience. 2+ years' experience with coding in languages including C, C++, C#, Java, JavaScript, or Python. Experience in SQL and/or NO-SQL databases. Excellent communication and leadership skills to drive projects and build buy-in and support. Demonstrated experience leading and managing a business-critical function. Technical certifications relevant to data analysis/BI.

Responsibilities

Build and maintain ADO pipelines and Azure Assets in a secure manner. Develop and productionize end-to-end models in Python, applying expertise in quantitative analysis and data mining.