Data Scientist

3 days ago

Amman, Amman, Jordan Jordan Open Source Association Full time 15,000 - 30,000 per year


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 & RESPONSIBILITIES

  • 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.

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