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توظيف Ingénieur Data Scientist & AI

  • الفئات:
  • االقطاعات:
  • نوع الوظية:
  • المستوى الدراسي:
  • سنوات الخبرة: 1 à 2 ans
  • وضع في: 10-06-2025 à 00:00:00
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الوصف
Missions :
  • Work closely with the marketing team to provide segment-specific recommendations and insights, aiming to improve targeting efficiencies and yield.
  • Coordinate tightly with the Customer Value Management (CVM) team to develop cross-functional shared business use cases.
  • Develop strategic analytical models, including customer 360, Lifetime Value (LTV), survival models, and customer segmentations.
  • Create use cases for sales and distribution, leveraging spatial data, network (NW) data, and competitive customer data.
  • Extract (or "Leverage") social media data for targeted communication, customer sentiment analysis, and the identification of behavioral and interest-based communities for digital targeting.
  • Oversee Data Ecosystem Development & Maintenance (Technology).
  • Collaborate closely with the Technology BI team on all matters related to data, platforms, and software.
  • Identify and integrate new data sources into the Big Data platform.
  • Manage governance and access rights for Advanced Analytics (AA) platforms and data.
  • Ensure the integration and sharing of Advanced Analytics (AA) model outputs with various customer touchpoints and IT systems.
Profil :

Experience & Background

  • 0 to 3 years of hands-on experience in Data Mining, Big Data, and Advanced Analytics.
  • Proven development experience with leading data science tools.
  • Prior experience in the telecommunications sector is a significant asset.

Analytical & Technical Expertise

  • Strong statistical and analytical skills.
  • Solid theoretical and practical knowledge of various Machine Learning (ML) techniques and algorithms, including but not limited to: Regression, Random Forest, Text Mining, and Social Network Analysis.
  • Ability to process and analyze large volumes of data using Big Data technologies.
  • Proficiency in data visualization techniques.
  • Good data engineering skills for both structured and unstructured data.

Business Acumen & Problem Solving

  • Good understanding of Telco Commercial practices.
  • Proven ability to translate complex business requirements into clear analytical model specifications.
  • Proclivity for experimenting with data science methodologies and exploring new approaches.

Tools & Technologies

  • Familiarity with, or proficiency in, programming languages commonly used in Data Science, such as Python and R.
  • Exposure to statistical software like SAS and SPSS is a plus.
  • Proficiency in data visualization tools such as Power BI and Tableau.
  • Competency in Microsoft Office Suite.

Education & Certifications

  • Master's Degree in Statistics, Computer Science, Operations Research (RO), or a related quantitative field.
  • Certifications in leading data science tools are highly desirable.
Autres :

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