Data Science Intern

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

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.

Department

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.

Project

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.

Tasks

The Data Science intern will support the ongoing work of the project by:

• Wrangling large data sets;
• Using data cleaning tools/methods to improve data quality by removing unwanted observations, fixing structural errors, investigating outliers, manage missing data (dropping, imputing, etc.), scrubbing for duplicate data and validate the accuracy of data;
• Identifying and articulating data patterns and trends;
• Analyzing workforce data to support the development of predictive models, building algorithms and training of models;
• Continuously learning and sharing knowledge about new ways to mine data and distill meaning out of the increasing amount of data available to us;
• Clearly articulating how to turn data insights into concrete measurable actions;
• Showcasing a willingness to perform other tasks as assigned

Requirements

Genuine commitment to the principles and work of MSF;

• Master’s Degree or higher (completed or in progress) in Statistics or Data Science or equivalent;
• Excellent skills in applied statistics, such as distributions, statistical testing, regression, etc.;
• Significant hands-on experience with and advanced skills with statistical packages such as R;
• Significant hands-on experience with and advanced skills in Python;
• Intermediate to expert skills in MS Excel & PowerBI;
• Superior attention to detail;
• Comfortable with unstructured, distributed data;
• Familiarity with future-state simulation, decision tree analysis, machine learning, deep learning, predictive analytics, neural networks and data engineering;
• An interest or background in HR Analytics, Strategic Workforce Planning or People Analytics;
• A passion and enthusiasm for data science.

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.