Research Data Scientist
Core
Develop and improve machine learning models describing how individuals move through the economy to identify hidden talent and match them to jobs and training.
Role type
Research Data Scientist
Builds
ML models for talent matching and workforce analysis
Domain
Labor economics and workforce development
Deliverable
research
Required skills
machine learning, Python, dimensionality reduction, time series analysis, PySpark/Spark, Flask, cloud ML platforms
Preferred skills
experience in algorithmic bias, experience in talent/education sectors
Technologies
Python, PySpark, Spark, Flask, SageMaker
Responsibilities
Improve existing models and develop new models describing economic mobility, manage and run experiments with public and private data sources, produce rigorous documentation including white papers and peer-reviewed publications, form new research questions and train models to address them
