Functional Responsibilities

• Oversee and provide strategic direction to the Centre’s predictive analytics workstream.

• Oversee and conduct research related to existing pilot models, in close collaboration with OCHA divisions, branches and country offices.

• Liaise with partners in the UN, NGOs, academia and private sector on the sharing of data and model insights as well as peer review of model results.

• Design a quality assurance process for developing and releasing predictive models including the use of code and data repositories, transparent documentation, and mechanisms for peer review.

• Develop a framework for hosting OCHA and partner models and their underlying data as a public good.

• Liaise with focal points from OCHA analysis-strengthening and anticipatory financing initiatives and ensure a coordinated approach to analytical efforts.

• Lead webinars and workshops for internal and external audiences on the potential of predictive analytics for OCHA.

• Draft communications material explaining the Centre’s work on predictive analytics.

• Coordinate predictive analytics team meetings and take part in Centre team meetings and work processes.

• Utilize available project management and office communication tools to effectively track and deliver expected outputs.

• Represent the Centre at partner meetings and public events.

Deliverables

• A medium-term plan including objectives and key results for the Centre’s predictive analytics workstream.

• A functioning quality assurance process for developing and releasing predictive models.

• A framework for hosting models and their underlying data as a public good.

• Communications material about the Centre’s predictive work.

Education

• Advanced university degree (Master’s degree or equivalent) in mathematics, physics, engineering, computer science, statistics or a related field. Bachelor’s degree with 9 years of experience or Master’s degree with 7 years of experience is required.

Work Experience

• Sevento nine years (depending on Degree qualification) programming experience in Python, R and/or Javascript, and an understanding of statistical analysis are required.

• Experience with data manipulation and transformation as well as code refactoring and API development are essential.

• Comfort within an Agile environment is expected.

• Skills in data visualization is desirable.

Language

• Fluency in English is required (both oral and written).

• Knowledge of another UN official language is an advantage.