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Jobs for Humanity

Senior Data Scientist (Analytics & Monitoring, Evaluation)

Jobs for Humanity Addis Ababa, Addis Ababa, Ethiopia

Non-profit Organizations · 11-50 employees

4 h ago
data-scientist Senior (5-10 yrs) Full-time Ethiopia
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About the role

Deliver end-to-end data science, analytics, and M&E solutions including predictive models and automated data pipelines. Lead survey analysis, generate actionable dashboards, and improve data quality through governance controls.

What they look for

Python R SQL Machine Learning Predictive Modeling Statistical Analysis Econometrics Power BI Tableau ETL Data Curation Survey Data Analysis CSPro Stata SPSS Data Governance

Requirements

Requires proficiency in Python, R, SQL, and statistical software like Stata or SPSS. Candidates must possess strong analytical skills, experience in predictive modeling, and the ability to communicate complex data insights to stakeholders.

Full description

Company Description

Kanz is partnering with private to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from all walks of life.

Company Name: private

Job Description

Deliver end-to-end data science, analytics, and M&E solutions—building predictive models, dashboards, and data workflows—to drive evidence-based decisions and program impact for NGOs, government, and private clients.

Job Duties and Responsibilities• Build and deploy predictive ML models

  • Develop automated data pipelines and ETL
  • Deliver actionable dashboards for stakeholders
  • Lead survey analysis and evaluation reports
  • Improve data quality through governance controls

Qualifications

Required Qualifications

  • Python
  • R
  • SQL
  • Machine learning/predictive modeling
  • Statistical analysis & econometrics
  • Power BI/Tableau data visualization
  • ETL and data curation
  • Survey data analysis (CSPro/Stata/SPSS)
  • Stakeholder communication and presentation
  • Analytical and problem-solving mindset
  • Project leadership and cross-functional coordination
  • Data governance and attention to quality
  • Teaching/training and mentoring
  • Company: private

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