Digital Talent MENA is hiring for one of our clients the role of Data Scientist Engineer

Our Client is one of the largest and most prominent telecommunications operators in the Middle East, Asia, and Africa.

About the role

Data Scientists play a pivotal role in leveraging customer data to inform strategic decisions. By applying advanced statistical and machine learning methods, they optimize network performance, forecast customer churn, tailor marketing campaigns, and elevate overall customer experience.

Roles & Responsibilities:.

• Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to customers.
• Use machine learning tools and statistical techniques to produce solutions to problems
• Test data mining models to select the most appropriate ones for use on a project
• Maintain clear and coherent communication, both verbal and written, to understand data needs and report results
• Create clear reports that tell compelling stories about how customers or clients work with the business
• Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
• Horizon scan to stay up to date with the latest technology, techniques, and methods
• Conduct research from which you'll develop prototypes and proof of concepts
• Look for opportunities to use insights/datasets/code/models across other functions.
• Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.

Requirements:

• Strong Python skills (Tensorflow, Keras, Sklearn, Pandas, Numpy)
• Recommendations Engine
• Advanced SQL skills & Data Warehouse concepts
• Oracle/IBM Netezza know-how is a plus
• Probability & Statistics ( A/B Testing, Probability Distributions, Summary Statistics)
• Supervised and Unsupervised Learning (Models understanding)
• Minimum 3 years of experience in a relevant role.
• Model Evaluation Metrics (Precision, Recall, F1 Score, etc.)
• Data Analysis (Outlier Detection, Dealing with Class Imbalance, Data Synthesis)
• NLP & Sentimental Analysis

Benefits:

• Flexible working environment, hybrid model
• Family Medical Insurance
• Performance based annual bonus