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Subject:
From:
Trey Billing <[log in to unmask]>
Reply To:
Political Methodology Society <[log in to unmask]>, Trey Billing <[log in to unmask]>
Date:
Thu, 6 Jul 2023 09:43:46 -0400
Content-Type:
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Hi all,

ACLED is searching for a Junior Data Scientist. The position is ideal for
someone with strong technical skills (stats/machine learning, advanced R &
Shiny, other programming languages, etc.) that also has experience with
conflict/political violence research.

The position is fully remote and open to applicants in any country. The
full job posting is here <https://acleddata.bamboohr.com/careers/174> and
is pasted below my signature as well.

Thanks!

-- 

*Trey Billing, PhD*

*Data Scientist*


*Armed Conflict Location & Event Data Project (ACLED)*

Connect with us at www.acleddata.com, on Twitter @ACLEDInfo
<https://twitter.com/ACLEDINFO>, and on Facebook
<https://www.facebook.com/ACLEDINFO/>





Junior Data Scientist - REMOTE
Data Management · Washington, District of Columbia (Remote)
------------------------------

The project:


The Armed Conflict Location & Event Data Project (ACLED) is a disaggregated
data collection, analysis, and crisis mapping project. The ACLED team
conducts analysis to describe, explore, and test conflict scenarios and
makes both data and analysis open for free use by the public. ACLED
material is regularly used to inform journalism, academic research, and
public discourse on conflict, and to support the work of practitioners and
policymakers. ACLED is the highest quality and most widely used real-time
data and analysis source on political violence and protest around the
world.



The Role:


ACLED is recruiting a Junior Data Scientist to assist with data science
projects. The Junior Data Scientist will work closely with ACLED’s Data
Scientist and Head of Data Science. This is a full-time position, fully
remote position.

The Junior Data Scientist will be responsible for the following tasks:



   - Assisting the Data Scientist in the application of statistical,
   machine learning, and natural language processing methods to specific
   questions using ACLED data
   - Update, monitor, and help improve ACLED’s existing machine learning
   models
   - Use tools such as R Shiny to build and maintain both client-facing and
   internal applications that aggregate ACLED data and analytical outputs
   - Engage in data preparation for analysis or bespoke projects
   - Other ad hoc data science tasks



Skills and competencies:



   - Required:
      - Advanced R skills
      - Advanced R Shiny skills
      - 1+ years experience manipulating large datasets
      - Strong analytical background, including statistics and machine
      learning
      - Strong critical thinking skills
      - Experience working to deadlines with limited supervision
      - An extremely high level of attention to detail
      - Flexible team player, especially across a remote, global team.
      Willingness to work with a team mostly based in US time zones.
      - Fluency in English
      - Bachelor's degree required, Master’s preferred. Relevant work
      and/or research experience may substitute for a Master’s degree.
   - Preferred:
      - Familiarity with ACLED’s data and methodology
      - Research focus or professional experience in conflict research or
      peacebuilding
      - Familiarity with Tableau
      - Familiarity with geospatial data and analysis using GIS software or
      a programming language
      - Familiarity with version control via git and GitHub
      - Familiarity with cloud-based computing
      - Familiarity with additional programming languages beyond R, such as
      JavaScript, Python, Julia, or others
      - Experience with a remote work environment



Applications:


To apply, please submit a CV and cover letter detailing qualifications,
experience, and salary requirements through our career portal.
<https://acleddata.com/about-acled/careers/> Applications will be reviewed
on a rolling basis. Interested candidates are advised to apply early.


Further information on the project is available online at acleddata.com.



Please note that this position is fully remote and can be done from
anywhere, there is no specific country requirement for that.

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