Predictive Analytics Team Lead

UNOPS · Mar 28th 2019

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Duty Station: Home-based

Application deadline: 10th of April 2019

Functional Responsibilities

  • Oversee and provide strategic direction to the Centre‚Äôs 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‚Äôs 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.


  • A medium-term plan including objectives and key results for the Centre‚Äôs 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‚Äôs predictive work.


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

Work Experience

  • Seven to 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.


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

  • Knowledge of another UN official language is an advantage.

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