Data Scientist

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.
• 2–5 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.