Job Description
Perform advanced analysis of large datasets to find hidden patterns.,Develop and deliver the identified use cases by applying machine learning concepts.,Perform advanced machine learning / analysis using state-of-the-art methods,Liaison with corporate and business units to build and animate strategic analysis studies, using internal/external data sources.,Develop and apply complex statistical models to discover hidden insights and reveal business value.,Work on data preparation and software development to allow models to be used by others.,Establish and schedule the data analysis approach in conjunction with the business unit.,Develop data extraction (clean-up, reduction...) and analysis techniques for data from the company’s repositories.,Expose comprehensive results, demonstrate business value and advise on way forward to a senior management / executive audience by translating data-driven insights into clear decisions and action plans.

Job Requirements
B.SC. in a quantitative field such as Statistics, Computer Science, Economics,,5+ years on relevant experience.,A good experience in Python programming language,A good knowledge of various machine learning techniques,background,Ability to work with large data sets.,Knowledgeable, Initiative and sharp.,Expertise in Data Ingestion / Processing and Modelling: able to express complex data needs / understanding of data quality-cleansing processes & methods,Statistical expertise : able to build predictive models leveraging advanced machine learning techniques and active in data science community (publish own model / package)

Special video required about the following:
No special requirements

Job Title
Data Scientist
Job Type
Full Time
Job Location
Abdali Boulevard, Amman, Jordan
Career Level
Mid level
Experience Required
5-7 years
Computer Science, economic, Engineering, Statistics
English, Arabic
Required Skills
good communication skills, presentation skills, analytical skills, team management skills, Good command of English language, Achieve Tangible Results, Think Strategically, Able to work and collaborate transversally, Capacity to influence and engage, Data - oriented