Location:
- Develop and implement data science models to enhance learning, assessment, and training platforms.
- Conduct data analysis, statistical analysis, and predictive modeling to identify trends and patterns in educational data.
- Develop machine learning models including logistic regression, random forest, and clustering algorithms tailored for educational purposes.
- Use psychometric methods like Item Response Theory and Rasch Models to improve assessment data quality.
- Create data visualizations and dashboards using Power BI and Tableau for educational stakeholders.
- Work with cross-functional teams, including educators and researchers, to understand requirements and deliver insights.
- Optimize ETL processes for data integration and preprocessing specific to educational datasets.
- Support the development of adaptive learning systems and personalized learning experiences through data-driven approaches.
- Implement and utilize Graph API and OData endpoints to integrate and analyze data from various sources.
- Work with large language models (LLMs) and retrieval-augmented generation (RAG) techniques to enhance educational tools and provide personalized learning experiences.
- Leverage vector databases to store and retrieve high-dimensional data efficiently.
Requirements
- 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 strong focus on predictive analytics and machine learning.
- Proficiency in Python, SQL, SAS, and advanced Excel.
- Experience with BI tools like Power BI and Tableau.
- Strong understanding of psychometric models and advanced statistical methods.
- Proven experience in implementing Graph API and working with OData endpoints.
- Experience with large language models (LLMs), retrieval-augmented generation (RAG), and vector databases.
- Excellent problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders.
- Proven track record of improving educational outcomes through data-driven strategies.
- Strong background in statistical analysis, including exploratory data analysis and inferential statistics.
Preferences:
- Certification in Power BI or similar BI tools.
- Experience in educational data analysis and resource allocation optimization.
- Knowledge of NLP techniques and sentiment analysis is a plus.
- Strong analytical skills and attention to detail.
- Ability to work in a collaborative team environment and manage multiple projects simultaneously.
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