Data Scientist at Jordan Open Source Association

About this role

Job Description Are you passionate about using data science for social good? Do you thrive in a collaborative environment where your work can make a difference? If so, JOSA, a leading Jordanian organization dedicated to open-source technology for social impact, wants you! We're looking for a highly motivated individual to join our Data Science team. You'll work alongside a talented team to leverage AI on socially conscious projects that align with JOSA's values. If you're excited to:
Apply your data science skills to tackle real-world challenges
Contribute to open-source AI projects and the wider community
Be part of a mission-driven organization making a positive impact
Apply to this position! QUALIFICATIONS
Passionate about JOSA's values and mission.
Bachelor's degree in Computer Science, Data Science, or a related field.
Proficiency in programming languages such as Python or R.
Understanding of machine learning frameworks, such as TensorFlow, PyTorch, or scikit-learn
Knowledge in Natural Language Processing, preferably, with previous exposure to Large Language Models and Transformers models like BERT.
Excellent communication in Arabic and English and interpersonal skills.
TASKS &
Data Preparation: Collect, clean, and format data for machine learning models. This includes building pipelines to preprocess text data and developing ETL processes.
Model Development: Fine-tune existing open source models for specific tasks, potentially including pre-training them. Evaluate and improve the performance of these models.
Data Analysis: Extract insights from text data using data mining techniques. Visualize data and model results for clear communication.
Deployment and Monitoring: Implement machine learning models to meet project requirements. Track the models performance and log metrics.
Collaboration and Knowledge Sharing: Collaborate with other teams to integrate the model. Share findings and learnings with peers, partners and the wider community.
Staying Current: Continuously learn about new AI advancements and apply them to improve JOSA's models and open-source models.
Originally posted on Himalayas