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UNOPS

Predictive Analytics Team Lead


UNOPS


exec

stats

exec

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22d

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Stats (beta): πŸ‘ 3,119 views,✍️ 41 applied (1%)
Functional Responsibilities{linebreak}{linebreak}{linebreak}{linebreak}* Oversee and provide strategic direction to the Centre’s predictive analytics workstream.{linebreak}{linebreak}* Oversee and conduct research related to existing pilot models, in close collaboration with OCHA divisions, branches and country offices.{linebreak}{linebreak}* 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.{linebreak}{linebreak}* 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.{linebreak}{linebreak}* Develop a framework for hosting OCHA and partner models and their underlying data as a public good.{linebreak}{linebreak}* Liaise with focal points from OCHA analysis-strengthening and anticipatory financing initiatives and ensure a coordinated approach to analytical efforts.{linebreak}{linebreak}* Lead webinars and workshops for internal and external audiences on the potential of predictive analytics for OCHA.{linebreak}{linebreak}* Draft communications material explaining the Centre’s work on predictive analytics.{linebreak}{linebreak}* Coordinate predictive analytics team meetings and take part in Centre team meetings and work processes.{linebreak}{linebreak}* Utilize available project management and office communication tools to effectively track and deliver expected outputs.{linebreak}{linebreak}* Represent the Centre at partner meetings and public events.{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Deliverables{linebreak}{linebreak}{linebreak}* A medium-term plan including objectives and key results for the Centre’s predictive analytics workstream.{linebreak}{linebreak}* A functioning quality assurance process for developing and releasing predictive models.{linebreak}{linebreak}* A framework for hosting models and their underlying data as a public good.{linebreak}{linebreak}* Communications material about the Centre’s predictive work. {linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Education{linebreak}{linebreak}{linebreak}* 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.{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Work Experience{linebreak}{linebreak}{linebreak}* Seven to nine years (depending on Degree qualification) programming experience in Python, R and/or Javascript, and an understanding of statistical analysis are required.{linebreak}{linebreak}* Experience with data manipulation and transformation as well as code refactoring and API development are essential.{linebreak}{linebreak}* Comfort within an Agile environment is expected.{linebreak}{linebreak}* Skills in data visualization is desirable.{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Language{linebreak}{linebreak}{linebreak}* Fluency in English is required (both oral and written).{linebreak}{linebreak}* Knowledge of another UN official language is an advantage.{linebreak}{linebreak}{linebreak}

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