Job Purpose

We are looking for a Data Scientist who will support our Information Management (IM) and Data Analysis Team with insights gained from analysing organization data. The role will last for one year, with possibility of extension depending on programme needs.

The ideal candidate is adept at using large datasets and gaining insights from applying data science models in humanitarian context. They must have a proven ability to drive impact decision making with data-based insights.

Job Duties and Responsibilities

1. Data project design and delivery

• Develop custom data models and algorithms to apply to data sets. 
• Mine and analyse data from organization databases to drive optimization and improvement of programme delivery and inform future strategies.
• Use predictive modelling to increase and optimize programme targeting and forecasting.
• Develop processes and tools to monitor and analyse model performance and data accuracy. 
• Assess the effectiveness and accuracy of new data sources, data gathering techniques. and data models

2. Skills Sharing

• Mentor IM team colleagues on Python and approaches to Data Analysis where relevant
• Engage in peer learning and skill exchange with national society colleagues, such as in providing one-on-one coaching sessions through provided online data science curriculum.

3. Internal and external relations

• Work with stakeholders throughout the organization to identify opportunities for leveraging organization data to drive decision making.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Collaborate effectively with a diverse international team across multiple projects and products, using complimentary skillsets and approaches.
• Liase with counterparts in the national society (TRC) harmonize approaches across multiple workstreams

Education

Required

• Minimum Bachelor’s degree in related quantitative field such as Mathematics, Physics, and Computer Science or related social science field such Political Science, and International Relations.

Preferred

• Master’s or PHD in Statistics, Mathematics, Computer Science, Social Science or any other quantitative field would be an advantage
• Data Science focused ‘boot camp’ with completed projects posted in a public repository such as ‘GitHub’

Experience

Required

• Using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
• Creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc

Preferred

• 1-3+ years of experience manipulating data sets and building statistical models
• Experience working with and creating data architectures
• Experience working with data in a humanitarian or international development context.

Knowledge and Skills 

Required

• Strong problem-solving skills with an emphasis on product development.
• Knowledge of a variety of supervised and unsupervised machine learning techniques (clustering, decision tree, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
• Statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.

Preferred

• Distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
• Good knowledge of IFRC

Languages

Required

• Fluently spoken and written English

Desired

• Fluently spoken and written Turkish
• Good command of another IFRC official language (French, Spanish or Arabic)

Competencies and Values

• Communication
• Collaboration and Teamwork
• Judgement and Decision Making
• National Society and Customer Relations
• Creativity and Innovation
• Building Trust