Doctors Without Borders/Médecins Sans Frontières - USA
New York, NY
Data Science Intern
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Apply to Data Science Intern at Doctors Without Borders/Médecins Sans Frontières - USAJob details
- Location
- New York, NY
- Work type
- Hybrid
- Visa
- Sponsorship available
- Posted
- 6 days ago
- Apply on
- boards.greenhouse.io
About this role
Médecins Sans Frontières (MSF) is an independent international organization providing medical care globally. The Data Science Intern will transform complex workforce data into actionable insights and support decision-making across the organization.
What you'll do:
- Designed and delivered at least one interactive Power BI dashboard that visualizes key workforce metrics and trends
- Improved data reliability and consistency by identifying and resolving data quality issues across multiple sources (e.g., HRIS, recruitment, and survey data)
- Developed and documented data models and DAX measures to support automated reporting and self-service analytics
- Produced clear visual and written summaries that connect data findings to actionable recommendations for People & Culture leadership
- Streamlined or documented data transformation and refresh processes for recurring Power BI reports
- Gained hands-on experience with data governance, visualization design, and applied workforce analytics in a complex, mission-driven environment
What they're looking for:
- Genuine commitment to the principles and work of Médecins Sans Frontières (MSF)
- Currently pursuing or recently completed a Master's degree in Data Science, Statistics, Analytics, or a related quantitative field
- Demonstrated experience building and managing Power BI dashboards (data modeling, Power Query, DAX)
- Strong analytical and statistical foundation (e.g., regression, hypothesis testing, distributions)
- A passion for data visualization design and communicating insights effectively
- Hands-on experience with Python and/or R for data wrangling and analysis
- Excellent attention to detail and data integrity
- Ability to work with complex, distributed, and sometimes unstructured data
- Curiosity, enthusiasm for learning, and a passion for turning data into meaningful insights
- Interest in HR analytics, workforce planning, or people analytics is a plus
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