Applied Scientist II
Core
Building and owning production machine learning models to improve results using SOTA generative models and large-scale data analysis.
Role type
Applied Scientist II
Builds
Production ML models and actionable insights for senior executives
Domain
Generative AI, Statistics, Predictive Analytics
Deliverable
production ML models
Required skills
Generative models (Qwen, Llama, Mistral, GPT), Machine Learning, Feature Engineering, Statistical Analysis, Data Mining, Experiment Design, Data Wrangling, Python, C#, R, C++, Java, SQL, Data Structures, Algorithms
Preferred skills
Deep Learning, Data Analytics
Technologies
Qwen, Llama, Mistral, GPT, Python, C#, R, C++, Java, SQL
Responsibilities
Designing experiments and producing trustworthy conclusions from data, Wrangling petabytes of data using various tools, Taking complex problems and data to provide concise answers for business decisions
Seniority
Mid-level, hands-on IC (via careerplan.io/jobs/1970393556874321-applied-scientist-ii-at-microsoft)
