Job detail | Ooredoo corporate

VAC9400 - Senior Expert, Artificial Intelligence (Data Science-Consumer)

  • Field: Consumer
  • Contract type: Full Time - Permanent
  • Location: Qatar - Doha
  • Closing date: 2024-12-31 12:00:00

Job role:

Role Overview

Ooredoo Group is a ~9bn USD business, comprised of a portfolio of more than 10 telecom investments (OpCos). The value of Ooredoo Group increases when we increase the value of each of the individual Ooredoo Group companies in the portfolio.

The OG Commercial team plays a key role in helping to increase the value of the investments (OpCos) through active commercial performance management, and in-turn, increase the total value of Ooredoo Group.

As a Senior Expert, AI (Data Science) at Ooredoo Group, your main role is to Lead the development and implementation of advanced machine learning algorithms and statistical models to extract actionable insights from large-scale data sets.

Ensuring the delivery of top-notch projects that yield substantial business value through various Data Science models such as Recommendation Engines, propensity models, and diverse segmentation techniques will also be your responsibility.

Furthermore, you'll play a pivotal role in driving initiatives related to data monetization strategies and identifying fresh business prospects by leveraging AI and data analytics to uncover potential revenue streams.

Core Responsibilities

As a data scientist at Ooredoo Group, you will:

  • Develop and implement a Data Science roadmap for the OpCo in collaboration with local business management teams.

  • Provide hands-on leadership and support in implementing data science use cases, overseeing end-to-end delivery for OpCos without local data science teams.

  • Ensure models are developed using the latest data science best practices with a focus on reusability across OpCos.

  • Facilitate the development of local data science teams within OpCos and their integration into business processes.

  • Offer expertise on available data science tools and establish a roadmap for developing, maintaining, and transferring models in an open-source architecture (Python/R/Hadoop/Spark).

  • Drive data utilization for business growth and promote data-driven decision-making.

  • Develop and deploy various Data Science and Data Monetization models to drive revenue generation, cost reduction, and operational enhancement.

  • Collaborate with diverse teams to devise innovative data products for both B2C and B2B markets.

  • Conduct comprehensive business analysis to provide insights for strategic decision-making.

  • Support data initiatives and ensure a consistent data delivery architecture.

  • Assist OpCos in implementing advanced ML algorithms and statistical models for actionable insights.

  • Communicate findings through data visualizations, reports, and presentations.

  • Ensure data quality, integrity, and governance adaptation based on best practices, coordinating roadmaps with OGT, OG-Strategy, and OpCo respective functions.

  • Spearhead efforts to monetize telecom data and establish strategic partnerships.

  • Collaborate with business development teams to integrate data-driven insights.

  • Uphold data privacy and compliance standards.

  • Collaborate with engineering and product teams to integrate AI & DS solutions.

  • Evaluate and monitor the performance of the AI & DS practice and propose recommendations.

  • Fulfil assigned duties related to the role.

Qualifications

  • 5+ years of experience in Data Science/AI.

  • 3+ years of experience in telecommunication Data domains.

  • Solid technical background in IT platforms relating to data integration, extraction, consolidation, and data scraping from external sources.

  • Excellent knowledge of Big Data platform and their eco-systems.

  • Excellent communication skills, presentation skills with persuasive speaking capabilities.

  • Extensive knowledge in business domains including CVM, Marketing, Sales, Finance, and technology with proven work experience within those functions.

  • Demonstrated experience in executing on complex projects, extracting, cleansing, and manipulating large, diverse structured and unstructured datasets.

  • 2+ years of experience with open-source technology solutions like Python/R/SCALA.

Experience

  • A Bachelor's in Data Science, Computer Science, Analytics, Applied Mathematics or Statistics, Econometrics, or closely related field

  • Master's degree in applied data science or MBA is a plus.

  • Fluent English - Arabic and French is a plus.


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