Fully Remote Role Alert! Join ACLED as a Associate Data Scientist: (2-3 years of professional experience)
Associate Data Scientist – REMOTE
About ACLED:
Armed Conflict Location & Event Data (ACLED) is a leading data collection, analysis, and crisis mapping organization. ACLED specializes in collecting disaggregated conflict data, analyzing and modeling conflict scenarios, and providing both data and analysis freely to the public.
The organization’s work is widely used to inform journalism, academic research, policymaking, and practical applications. ACLED’s real-time data on political violence and protest is considered the highest quality and most widely used in the field.
The Role:
ACLED is seeking an Associate Data Scientist to support the team with data science projects, particularly those focused on natural language models. This role will involve collaborating with ACLED’s Data Scientist and Head of Data Science, applying various statistical, machine learning, and natural language processing methods to analyze and improve ACLED’s data.
This position is fully remote, meaning it can be done from anywhere with reliable internet access. Candidates from all countries are welcome to apply, and applicants are asked to provide their salary range for consideration.
Specific Roles and Responsibilities:
The Associate Data Scientist will have the following responsibilities:
- Support in the application of statistical, machine learning, and natural language processing methods to analyze ACLED data.
- Update, monitor, and improve ACLED’s existing machine learning models.
- Adapt large language models for ACLED use cases, including:
- Question-answering
- Translation
- Named entity recognition
- Classification
- Engage in data preparation for analysis or bespoke projects.
- Deploy models and data pipelines on cloud-based platforms.
- Assist with ad hoc data science tasks as needed.
Skills and Competencies:
Required:
- Advanced proficiency in Python and R.
- 2-3 years of professional experience in a data science role.
- A strong analytical background, with experience in statistics and machine learning.
- Proven experience with natural language processing (NLP).
- Critical thinking skills and a high degree of attention to detail.
- Ability to work independently and meet deadlines with minimal supervision.
- Flexible and able to collaborate effectively within 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. However, relevant work or research experience may substitute for a Master’s degree.
Preferred:
- Familiarity with ACLED’s data and methodology.
- A background or professional experience in conflict research, peacebuilding, or international development.
- Familiarity with version control via Git and GitHub.
- Experience with cloud-based computing.
- Knowledge of additional programming languages (e.g., JavaScript or Julia).
- Experience working in a remote work environment.
Applications:
To apply, please submit the following:
- CV (Curriculum Vitae)
- Cover Letter: Include details of your qualifications, experience, and salary requirements.
Applications will be reviewed on a rolling basis, so early application is encouraged. For more information about ACLED and the application process, visit their website at acleddata.com.
About the Application Process:
- Applications will be reviewed continuously, so applying early increases your chances.
- The cover letter should highlight how your skills and experience align with ACLED’s needs.
- Be sure to include your salary requirements along with your CV and cover letter.
This is an exciting opportunity to join a global organization focused on real-time data and analysis for understanding political violence and conflict. If you’re passionate about data science, natural language processing, and making an impact on global conflict research, this role could be a great fit for you!
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Disclaimer: Global South Opportunities (GSO) is not the hiring company. For any inquiries, please contact the hiring organization directly. Please do not send your applications to GSO, as we are unable to process them. Due to the high volume of emails we receive daily, we may not be able to respond to all inquiries. Thank you for your understanding
