Data Scientist - INTL
Core
Design, develop, and enhance machine learning models to drive data-driven decision-making for a large non-profit organization affiliated with a globally recognized university.
Role type
Data Scientist (Machine Learning)
Builds
Scalable predictive models and actionable insights for strategic engagement and outreach initiatives.
Domain
Non-profit / Higher Education
Deliverable
production ML models
Required skills
Feature engineering, predictive modeling, statistical analysis, Python (Pandas, NumPy, Scikit Learn, TensorFlow, Pytorch), SQL, exploratory data analysis, supervised and unsupervised learning, model evaluation and optimization, cloud platforms (AWS, Azure, GCP), MLOps, model monitoring, data visualization (Power BI, Tableau)
Preferred skills
Propensity modeling, customer behavior modeling, experience deploying models to production
Technologies
Python, Pandas, NumPy, Scikit Learn, TensorFlow, Pytorch, SQL, AWS, Azure, GCP, Power BI, Tableau
Responsibilities
Transform raw and unstructured data into meaningful model inputs, collaborate with stakeholders to identify patterns, build scalable models, generate insights for strategic initiatives, evaluate model performance, and deploy models into production environments.
Seniority
Mid-level (2+ years experience)
