Data Scientist

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

Job Description :

 
Key Accountabilities and Activities:
• 1- Advanced Analytics & Data Modelling (To All Commercial Functions)
• Understand business requirement for Consumer Business Unit and implement data mining models to do value addition on top of existing analytics
• End to end AI/ML based model building & advance analytics use cases in data science tool (e.g. SAS /R/Python) and SQL with feature extraction/data source identification and collection, pre-processing of data, training, scoring, and actionable insight extraction.
• Act as the custodian of advanced analytics assets within the organization and utilizes the power of advanced analytics tools, techniques, practices and data (both internal and external).
• Working as part of shared function across organization on use cases to support product growth, cost optimization, customer engagement etc.
• Feature engineering and insights through statistical measures/algorithms/graphs/info graphics.
• Analyze large amounts of information to discover trends and patterns
• Aid in data driven decision making by enabling key analytical insights derived from multidimensional data from varied sources.
• Support to enhance business processes for data monetization, commercialization whilst offering valuable insights to improve customer experience across touch points.
• Build predictive AA models using AI/ML based algorithms. This shall include training, scoring and end to end automation.
• Combine models through ensemble modeling
• Presenting results of the models in a business friendly format
• Visualization of key business insights and data using advanced techniques and tools
• Continuous support to use case owner departments by optimizing the models via optimization and self-learning
• Aggressive tracking of results and utilization of leads.
• Manage the Data Science Operational Framework
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Propose solutions and strategies to business challenges using key insights from AA models.
• 1- Use Case Formulation & Insights exploitation (Marketing / Sales Team Specific - B2B / B2C )
• Work closely with marketing team and provide segment specific recommendations and insights to improve targeting efficiencies and yield.
• Work in close coordination with CVM team and develop cross functional shared business use cases.
• Develop strategic use case models such as customer 360 , LTV , Survival models, segmentations ...
• Develop use cases for sales and distribution using spatial data / NW data and competition customer data.
• Harvest social data for targeted communication, customer sentiments, identifying behavioural and interest based communities digital targeting.
• 1- Data ecosystem Development & Maintenance
(Technology)
• Closely work with Technology BI team on matters related to Data, platforms and software.
• Identify and integrate new data sources to Big data platform.
• Governance and access rights on AA platforms and data.
• Integration and sharing of AA model outputs with various customer touchpoints and IT systems.
• Inputs for Platform Performance and vendor selection
• Support planning activities for Analytics capabilities
• 1- Internal & External Organizational Collaboration
• Collaborate and aligned with Group AA team for strategic initiatives and policies.

• With Group :
• Engage with peers in the group and opcos and share knowledge and models.
• Ensure AA models and technologies are well communicated, understood and adopted by business units and users in a timely manner.
• Implement Group team s recommendations and fulfil the requirements as per their guidelines.
• Necessary knowledge and Experience to be able to do the job
•
• Required minimum Eight (8) years of years of experience in AI/ML base advanced analytics and development experience using a leading data science tool.
• At least Five (5) years with a telecom operator in similar capacity while working with Technology teams.
• Excellent understanding of Telco. Commercial practices.
• Expertise in data Science Methodology and processes.
• Ability to translate business requirements into AA model specs.

• Expertise in:
• Statistical & Analytical skills.
• AI / ML techniques & Algorithms.
• Expertise in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
• Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
• End to end AA model development lifecycle and automation.
• Ability to process large volumes of data using Big data.
• Advanced skills in Deep learning and data visualization.
• Strong Data Engineering skills (Structured and Unstructured).
• Tools & Technology
• Python, R programming, and other Data Science related Programming languages
• Tensor flow, Keras, spark
• Hadoop, Teradata
• Exposure using SAS , MATLAB,SPSS, Alteryx
• Visualization using Qliksense, Tableau
• MS Office

Qualifications:
• Bachelor s Degree from a reputed Educational Institute in in any of the following:
• Computer Science
• Engineering
• Information Technology / Information System
• Data Science / AI
• MBA is an added advantage
• Certification in leading data science tools

Other Information:
• Job specific technical Skills
• Strong analytical skills & project management Skills.
• Strong knowledge in Telco domain.
• Excellent presentation skills
• Solution oriented strategic/critical thinking, analytical skills and the ability to be creative.