We are seeking a Data Scientist to support YPKBI's transformation through evidence-based decision-making. This role will focus on developing people analytics models for students and educators, as well as building data infrastructure to support the foundation's long-term educational vision.
The Data Scientist will work closely with the Strategy, HR, and Education Development teams to analyze trends, evaluate scholarship impact, and generate insights that shape future talent and student development strategies.
RESPONSIBILITIES
- Develop and manage data models for student performance, teacher effectiveness, and scholarship targeting.
- Build and maintain datasets from multiple sources (academic records, assessments, surveys, HR data, etc.).
- Conduct exploratory data analysis and statistical modeling to uncover patterns and predictive insights.
- Design and visualize dashboards or reports for decision-makers.
- Collaborate with HR and Education teams on people analytics initiatives.
- Support YPKBI's digital transformation by advising on data architecture and tools.
- Ensure data privacy and ethical use in line with YPKBI's policies.
QUALIFICATIONS
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Econometrics, or related fields.
- 25 years of experience as Data Scientist, Data Analyst, or similar role.
- Prior experience in education, research, or social development institutions is a plus.
- Experience with people analytics or education data modeling preferred.
- Proficiency in Python (Pandas, NumPy, Scikit-learn) or R.
- Strong skills in SQL and data visualization (Power BI, Tableau, or Google Data Studio).
- Knowledge of machine learning, predictive modeling, and statistical inference.
- Familiarity with data cleaning, ETL processes, and basic data engineering.
- Bonus: Experience with survey analysis, longitudinal data, or natural language processing for qualitative data.
- Strong analytical and critical thinking.
- Ability to translate data insights into actionable strategies.
- Excellent communication skills, especially in presenting complex findings to non-technical audiences.
- High integrity and commitment to data ethics.
PREFERRED PROFILE
- Interested in education transformation, human capital analytics, and impact-driven data use.
- Passionate about using data to improve educational quality and access.
- Comfortable working cross-functionally with HR, academic, and tech teams.
