Qualifications:- Bachelor’s degree or equivalent, or up to 4 years relevant experience.
- Analytical and problem-solving skills; ability to structure complex problems, develop hypotheses, and present well-supported solutions.
- Technical aptitude: You have an engineer mindset willing to work on IT technologies.
- Communication skills: An ability to collaborate and present concepts clearly.
- Drive: You’re a self-starter with a passion for learning new subjects on your own, which you then help evangelize with your peers and community.
- Innovation: You’re open to new ideas and challenges.
Knowledge:- Basic knowledge of Mathematics and Statistics.
- Knowledge of programming languages such as Python and/or R.
- Good understanding of the basic principles of machine learning, including both supervised and unsupervised learning, and understanding of neural networks.
- Knowledge of NLP techniques.
- Understanding of Data Management and Analysis with some SQL skills for data analysis and for effectively working with large data sets.
- Some experience with data science libraries and tools like Pandas, NumPy, or TensorFlow.
- English is a must; Arabic & French is advantageous.
We know that sometimes people can be put off applying for a job if they think they can't tick every box. However, if you are excited about this opportunity and think you can do most of what we are looking for, then go ahead and apply. You could be exactly what we need!
Oracle is an Affirmative Action-Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veterans status, age, or any other characteristic protected by law.
Career Level: IC1