Accountable to use data science methods to solve business challenges. Seeking new opportunities along the way by applying state-of-the-art data science tools, and modelling techniques to interpret, make inferences, predictions, and offer recommendations based on insights from the data and business owners’ requirements.

1. Lead the data science team to develop data science use cases that assist the decision makers to take the right decision.

2. Work closely with business teams to get new insights that help in making the right business decisions.

3. Set a clear goals and questions, so you can apply different data mining algorithms like customer segmentation and churn prediction.

4. Collaborate with Analytics team to ensure the integrity and availability of required data, with the right definitions and optimum structure, to be suitable for building all types of data models.

5. Manage the development of data mining platform that assist the data scientist to create data science models easily.

6. Prepare and maintain robust processes for developing data mining models.

7. Develop the required data science models and business insight reports as required by the business.

8. Make a presentation and sessions to the promising data models for different users to ensure the delivery of goals and ideas in a professional way.

9. Support the BI team with daily work and normal operation if needed.

• Effective Team lead

• The value from the data science uses cases.

• Quality of relationships with internal customers/peers/vendor support.

• Effectiveness of issue resolution/decision making/change control and risk management

• Delivery of outcomes to agreed quality standards and deadlines

• Adaptability of work plans/resources in response to change

• Consistency and Quality of providing solutions through models.

• Responsible for company data assets.

• Reports to Analytics Manager.

• Responsible for company job related assets.

• Adhering to the standard Processes.

• BSC in Computer/IT or Computer science or Statistic.

• At least 3 years’ experience in data science in telecom.

• Professional knowledge and high experience in machine learning concepts and tools.

• Previous experience in SQL, RDBM, Big Data and data modelling.

• Previous experience in management or leaderships roles is desirable.

• In-depth knowledge of statistical and data-mining techniques

• Strong knowledge of programming languages, with a focus on machine learning and advanced analytics (such as R, Python, and Scala)

• Experience working with large data sets and relational databases (Knowledge in SQL)

• A collaborative spirit and the ability to communicate complex ideas effectively to both colleagues and clients

• Excellent problem-solving skills and the ability to analyze issues, identify causes, and recommend solutions quickly.

• Knowledge transfer

• Ability to interpret and apply best practice methods/processes

• Excellent innumeracy and analytical skills.

• Curious & Creative & Sceptical.

• Communicative & Collaborative.

• Management of external suppliers and software/hardware vendors

• Conflict handling and resolution skills

• Change management

• Highly developed communication and reporting skills (verbal and written) in both Arabic and English

• Ability to impart knowledge to others in a 1-2-1 and 1-2-many environment

• Analytical Thinking and Problem Solving

• Creative thinker

• Forward Planning

• Results Drive

• Concern for Standards/Efficiency

• Being Collaborative

• Tenacity, Resilience and Self-Management