Data Scientist

• Company Orange Jordan
• No. of Openings 10+
• Salary Not Disclosed
• Work Type on-site

Job Description :

Key Accountabilities:

• Develop and deliver the identified use cases (i.e. NBA/NBO, SMART Capex) 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.
• Perform advanced analysis of large datasets to find hidden patterns.
• 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

Education & Experience:

• B.SC. in a quantitative field such as Statistics, Computer Science, Economics, Engineering (telecom, industrial, computer).
• 5+ years of relevant experience.
• A good experience in Python programming language
• A good knowledge of various machine learning techniques (clustering, Trees, boosting, ANN).
• Background in statistics and probability theory.
• 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)