The Food and Agriculture Organization of the United Nations based in Rome
is seeking a young talented statistician to join the Statistics division to
eliminate hunger by means of better decision making through providing
quality data and analysis.
We value people with technical skills, in particularly individuals who are
able to translate numbers to actions and to make an impact to the world.
In this role, you will be mainly performing research on imputation and
various methodologies for the Food Balance Sheet; and overseeing the
integration of R packages to the in-house analytical system. At the same
time, collaborate with colleagues to produce analysis and recommendations
for publication.
The ideal candidate will have the following background and skills:
? A graduate degree in Statistics, Mathematics or Science related
discipline with a strong emphasis in quantitative application, experience
or knowledge of imputation methodology is a plus.
? 3+ years of professional experience with proven achievements
resulting from analysis.
? Extensive and all round knowledge of R, preference will be given
to those with experience in package development and maintenance.
? High degree of self-motivation, improvement seeking and able to
make proposals.
? Comfortable with data base, and understand of API?s.
? Strong ability to communicate methodology and results.
Nice to have:
? Experience with agriculture or trade statistics.
? Knowledge of agriculture, poverty or rural development.
? Analytical experience with non-standard data format such as
satellite image processing, and real time text mining, and ability to work
with large data that may not fit in memory.
? Experience with tools for reproducibility (
https://github.com/jtleek/rpackages)
? Creative data visualization.
? Machine learning, spatial analysis, NLP, network analysis.
If you think you have these skills, please repond privately to me with you
CV and any relevant material such as codes on Github.
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