Data Scientist

7 months ago


Auckland City, New Zealand Peloria Full time

**Mission and Project Description**

Peloria's mission is to bring government, civil society and the private sector together around evidence-based approaches to inclusive, just and resilient societies. Peloria’s AI models, forecast and identify the factors associated with change in social phenomena. This includes different forms of violence, misinformation, demographic change, and government policy. Given the multidisciplinary nature of our work and the deep complexities involved in modelling social phenomena, Peloria is looking for mission-oriented people at the cutting edge of their discipline.

**Key Competencies and Experience**
- PhD in Computer Science, Engineering, Statistics, Applied Mathematics, or related fields
- Experience building machine learning/deep learning models - including platforms such as Pytorch, Tensorflow, Colab
- Strong understanding of key metrics, statistical tests and inferential statistics and able to relate results to non-technical audience
- Experience in data analysis and building visualization dashboards
- Experience in Natural Language Processing techniques and using/fine-tuning LLMs.
- Experience using APIs and web scraping tools, especially for Twitter and online news sources
- Experience with coding (including Python)
- Experience with Github

**Preferred Experience**
- Experience with cloud platforms (AWS), Solr/ElasticSearch
- Experience in the social science field such as Economics, Sociology, Anthropology, Human geography, peace and conflict studies is a plus
- Experience creating User Interfaces (UI) is a plus
- Excellent communication, interpersonal relationship skills and a strong team player
- Fluency in English. Other languages are a plus

**Job Types**: Full-time

**Benefits**:

- Work from home

Schedule:

- Flexible hours
- Monday to Friday

Compensation: $5,500 to $9,000 per month depending on experience

**Salary**: $5,500.00 - $9,000.00 per month

**Benefits**:

- Work from home

Schedule:

- Monday to Friday


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