Degree in Computer Engineering
Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
Doctors Without Borders/Médecins Sans Frontières (MSF) is an international humanitarian organization that delivers impartial medical care to people affected by conflict, epidemics, disasters, or exclusion from health care in over 70 countries.
We welcome candidates who bring a wide variety of backgrounds and experiences to join us in working toward MSF’s common mission.
The Field Human Resources Department (Field HR) is responsible for recruitment, selection, placement, and retainment of qualified and well-suited field staff to meet the growing needs of MSF field operations.
The Data Science Intern will report to the People Analytics Project Manager.
The People Analytics project aims to strengthen the analytical capabilities of Human Resource (HR) leaders across MSF so that HR planning is more strategic, data-driven and evidence-based. We are applying statistical modeling, predictive algorithms and future-state simulation to HR data to develop tools to aid in strategic workforce planning. We are also developing our talent analytics capacity to examine causal relationships between HR and resulting business outcomes.
The Data Science intern will support the ongoing work of the project by:
Genuine commitment to the principles and work of MSF;
Please note that neither relocation assistance nor visa sponsorship will be offered for this position.
No phone calls and emails please. Only shortlisted candidates will be contacted.
Application Deadline: Open Until Filled OR Insert Applicable deadline date.
Médecins Sans Frontières, sometimes rendered in English as Doctors Without Borders, is an international humanitarian medical non-governmental organisation of French origin best known for its projects in conflict zones and in countries affected by endemic diseases.