Data Scientist

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Habitat for Humanity

Data Scientist – Global Housing Index (Habitat for Humanity International)

Organization: Habitat for Humanity International (HFHI)
Location: Remote (within a country where Habitat has a registered entity)
Position Type: Full-time, US Employment
Contract Duration: 2 years
Application Deadline: July 4, 2025
Travel Requirement: Up to 10%

Role Summary

HFHI is seeking a Data Scientist to lead the development and maintenance of the Global Housing Index, a flagship data initiative aimed at highlighting global housing challenges and influencing policy and program solutions. The role involves managing data pipelines, designing rigorous housing index models, validating insights, and translating findings into actionable advocacy tools.

The ideal candidate will have deep experience in data science, particularly in real estate or international development contexts, and will work closely with internal teams and external partners to ensure the credibility and usability of the Index.

Key Responsibilities

1. Global Data Pipeline Management (15%)

  • Acquire and maintain large-scale international housing and demographic datasets

  • Ensure seamless data integration and accessibility

2. Data Standardization and QA (15%)

  • Clean, harmonize, and transform global datasets

  • Address inconsistencies across sources

3. Index Model Construction and Testing (15%)

  • Apply statistical and econometric methods to build housing index models

  • Iteratively refine and validate models using sensitivity analysis and back-testing

4. Insight Derivation and Validation (15%)

  • Analyze index outputs for trends and policy relevance

  • Interpret findings for both technical and non-technical audiences

5. Communication and Advocacy (15%)

  • Document methodologies and develop compelling data visualizations and reports

  • Support internal and external presentations and partnerships

6. Quantitative Research Support (10%)

  • Advise on research design for campaigns (e.g. Home Equals) and organizational initiatives

  • Guide teams on feasibility, partnerships, and data ethics

7. Internal Coordination (15%)

  • Participate in working groups, collaborate with Area Office and National Office staff

  • Support cross-departmental learning and communication

Required Qualifications

  • Education: Bachelor’s degree in applied data science, economics, public policy, statistics, or computer science (Master’s preferred)

  • Experience: 5+ years in applied data science, ideally with international and housing-related data

  • Languages: Fluency in English

Skills and Competencies

  • Advanced data wrangling and cleaning with Python or R

  • Strong knowledge of statistical modeling, data visualization, and communication

  • Experience with databases (SQL), APIs, and metadata standards

  • Familiarity with international development, housing markets, and equity in data use

  • Ability to lead complex processes and influence across functions

Preferred Qualifications

  • Real estate or macroeconomic data experience

  • Experience working with datasets from the Global South

  • Proficiency in GIS tools such as ESRI or QGIS

Compensation and Benefits

  • Salary (US locations): $72,250 – $85,000

  • Benefits: Competitive global package including vacation, health insurance, retirement contributions, and more (varies by country)

How to Apply:
Visit Habitat for Humanity Careers to submit your application before July 4, 2025.

To apply for this job please visit www.habitat.org.

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