Senior Data Scientist at Vodacom

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).

Closing Date: 15th, July 2022