Data Scientist Ii
Core
Develops and fine-tunes machine learning models and builds ML solutions incorporating software engineering quality standards for data-intensive environments.
Role type
Mid-level hands-on IC data scientist
Builds
Production ML models and ML solutions
Domain
Data engineering and data governance
Deliverable
production ML models
Required skills
Statistics, classical machine learning, timeseries analysis, Python (advanced patterns), machine learning frameworks (Tensorflow, Pytorch, scikit-learn), MLOps practices, software lifecycle practices, git-based workflows
Preferred skills
Collaborative software development workflows
Technologies
Tensorflow, Pytorch, scikit-learn, Python
Responsibilities
Analyzes business requirements to determine ML solution feasibility; Develops and fine-tunes models through reproducible experiments; Builds ML solutions with software engineering quality standards; Participates in technical design of features; Optimizes and monitors model performances; Prioritizes tasks autonomously
Seniority
Mid-level, hands-on IC