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Data Scientist Lead

Egypt, Giza · Job Posted June 15, 2026
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Job Description

Vodafone Egypt consumer marketing team seeks a Lead Data Scientist to boost business`s decisions towards a data-driven decisions. As part of our Data Science team, you will work alongside data scientists, big data engineers, and business stakeholders to define data science use cases, advise and solve complex problems and being positioned as the local technical expert.. You will be responsible for implementing and maintaining use case pipelines, and communicating results to scientists, product managers, and customers. Your work will directly impact millions of our customers in the form of products, services and offers. You will gain hands on experience with Vodafone’s huge volume of data and large-scale computing resources.

Job Responsibility

  • Mentor a team of Data Scientists
  • Identifying business opportunities to make a commercial difference
  • leads the development of analytics initiatives to meet business requirements
  • Translates complex datasets into strategic insights for the business and communicates simply to non-technical audiences, visualizing results, to create understanding and solution buy-in
  • Recognized as an expert in the community, mentoring and advising colleagues on statistical techniques, algorithms and data sources
  • Works closely with Technology teams to design, build, test, deploy, maintain and improve technology solutions and models
  • Identifies new analytics trends and opportunities to drive the innovation agenda across business functions & Advanced Analytics
  • Spread Design Thinking and Agile methodologies

Requirements

  • Master's (or equivalent) in quantitative fields like Mathematics, Statistics, Computer Science or Engineering
  • Minimum of 5 years of relevant experience with a focus on advanced analytics and predictive modelling
  • Competent in machine learning principles, deep learning and generative AI techniques
  • Proficient in statistical packages and ML libraries (e.g. Python SciPy and Tensorflow, Spark MLlib)
  • Familiar with leading visualization tools (e.g. Tableau, Spotfire, Power BI)
  • Familiar with implementing data transformations and algorithms in common programming languages
  • Strong communication skills with prior experience communicating analytics results to senior management

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