Data Scientist

Responsibilities

• Develop and implement data science models to enhance learning, assessment, and training platforms.
• Conduct statistical analysis and predictive modeling to identify trends in educational data.
• Build machine learning models including logistic regression, random forest, and clustering algorithms.
• Apply psychometric methods such as Item Response Theory and Rasch Models to improve assessment quality.
• Create data visualizations and dashboards using Power BI and Tableau for stakeholders.
• Optimize ETL processes for data integration and preprocessing of educational datasets.
• Utilize LLMs, RAG techniques, and vector databases to enhance personalized learning experiences.
• Implement Graph API and OData endpoints to integrate data from various sources.

• Bachelor's degree in Business Administration (Big Data Analytics), Economics, Statistics, or a related field.
• 3-5 years of experience in data science with a focus on predictive analytics and machine learning.
• Proficiency in Python, SQL, SAS, and advanced Excel.
• Experience with BI tools such as Power BI and Tableau.
• Strong understanding of psychometric models and advanced statistical methods.
• Proven experience with Graph API and OData endpoints.
• Hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and vector databases.

• Certification in Power BI or similar business intelligence tools.
• Experience in educational data analysis and resource allocation optimization.
• Knowledge of NLP techniques and sentiment analysis.
• Ability to manage multiple projects simultaneously in a collaborative environment.

Gama Learn focuses on enhancing educational learning and assessment platforms through advanced data science and technology.