Vodafone Global Enterprise Senior Data Scientist Jobs in South Africa

Vodafone Global Enterprise Senior Data Scientist Jobs in South Africa

Role Purposes

  • Establishing Hyper Personalisation and Machine Learning solutions for Vodacom Financial Services.

  • The Big Data Science Team in Vodacom Financial Services helps drive personalisation and data-driven decisions within the VFS ecosystem. Using the repository of data and AI Engine we drive engagement and customer-centricity using AI.

  • The use of Advance Machine AI and ML methodologies helps optimize the customer experience.

  • The teamwork on Machine Learning, Deep Learning, Graph-based Learning approaches build a better understanding of the customer and the data lake we have built up.

  • Help work through Peta Bytes of data to build ML models that assist the customer at every touch point throughout the customer journey.

  • The VFS teams build Models that interact with customers on APP (VodaPay), USSD, WEB, Call Centre giving a personalized experience all around.

  • A Senior Data Scientist helps in Co-creating Advanced Machine Learning products that drive revenue, reduce cost and increase customer experience.

  • Developing predictive models with large and varied datasets, working with a community of colleagues across Advanced Machine Learning, technology, and data and customer functions

  • Contributing to the wider community to enable an Advanced Machine Learning capability across Vodafone globally.

    Your responsibilities will include:

  • Development of machine learning models for various areas of the business on the Big Data Platform.

  • Development of prototype code in e.g. PySpark for automated training and scoring of the machine learning models.

  • Machine Learning Model performance tracking and reporting using e.g. Qlik.

  • Uses data visualization to engage the audience in a compelling way, enabling effective storytelling.

  • Work with lead data scientist to deliver key packages of work to meet the needs of business customers.

  • Works in partnership with Big Data Engineering
    for data ingestion to support use cases.

  • Works in partnership with Big Data Production Data Engineering for model automation and production rising.

    The ideal candidate for this role will have:

  • 4-7 years of experience in similar data science role.

  • Bachelor’s or master's degree in quantitative fields like Mathematics, Statistics, Economics, Computer Science Engineering, Artificial Intelligence, Social Sciences, Data Journalism, or related fields.

  • Expertise in data manipulation: use of structured data tools (e.g., SQL), & unstructured data tools and platforms (e.g., Hadoop, Spark, NoSQL).

  • Proficiency in at least one relevant programming language: Python, Scala.

  • Expertise in machine learning libraries (e.g., R, H2O, Scikit Learning, TensorFlow , Pytorch , Xgboost , LightGBM) and multivariate techniques (e.g. k-means segmentation, multiple regression, factor analysis, time series forecasting).

  • Experience in digital data sets, e.g., social listening, social network analysis).

  • Familiarity with visualization tools (e .g. Tableau, Qlik, D3).

  • Exposure/interest in machine learning.

  • Experience in Deploying Models in Cloud (AWS, GCP , Azure).

  • Data Knowledge in Machine Learning, Deep Learning, and Predictive Modelling.

  • Deep Expertise in Big Data Technologies.

  • MLOPS understanding and Experience are Advantageous.

  • Natural Language Process (NLP).

    How to Apply

    For more information and job application details, see; Vodafone Global Enterprise Senior Data Scientist Jobs in South Africa

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