About the organization
Armed
Conflict Location & Event Data (ACLED) is a disaggregated data
collection, analysis, and crisis mapping institution. The ACLED team
collects conflict information, conducts analysis to describe, explore,
and test conflict scenarios, and makes both data and analysis open for
free use by the public. ACLED’s work is regularly used to inform
journalism, academic research, and public discourse on conflict, and to
support 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 an Associate Data Scientist to assist with data science
projects, focused particularly on natural language models. The Associate
Data Scientist will work closely with ACLED’s Data Scientist and Head
of Data Science.
This position is fully remote and can be done from any location with reliable internet service.
This position is open to nationals of any country. For more information, please review the Applicant FAQs. Please submit your salary range for consideration.
Specific roles and responsibilities
The Associate 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.
- Adapt
large language models for ACLED use cases, including
question-answering, translation, named entity recognition, and
classification.
- Engage in data preparation for analysis or bespoke projects.
- Deploy models and data pipelines on cloud-based platforms.
- Other ad hoc data science tasks.
Skills and competencies:
Required:
- Advanced Python and R skills.
- 2 to 3 years of professional experience in a data science role.
- Strong analytical background, including statistics and machine learning.
- Proven experience in natural language processing.
- 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 supervisor 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, peacebuilding, and/or international development.
- Familiarity with version control via Git and GitHub.
- Familiarity with cloud-based computing.
- Familiarity with additional programming languages beyond R and Python, such as JavaScript or Julia.
- Experience with a remote work environment.
Applications:
To apply, please submit a CV and cover letter detailing qualifications, experience, and salary requirements.
Further information is available online at acleddata.com. Applications will be reviewed on a rolling basis.
Interested candidates are advised to apply early.