M-Pesa Africa Senior Data Scientist Job. Computer Science Jobs In Kenya

Job Description

• The Commercial Team works with the M-Pesa leadership across our 7 OpCos to co-create the product strategy, drive thought leadership and new strategic partnerships, design new products and features, set commercial priorities with the engineering teams and support the product development lifecycle.
• Your responsibilities will include championing big data, analytics and machine learning to help build the next generation of M-Pesa services that are personalised, contextualised and smart. This could include work across the M-Pesa Africa product suite, including the consumer and merchant app experience, the financial services portfolio, international remittances and the business portal.

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Responsibilities

• Create Machine Learning and AI products that provide actionable business insight and drive personalisation for M-Pesa users.
• Developing predictive models with large and varied datasets, working with a community of colleagues across Advanced Analytics, technology, and data and customer functions
• 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
• Uses data visualisation to engage 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 productionising
• Contributing to the wider community to enable Machine Learning and AI capability across Vodafone globally.

Qualifications

• A minimum of 5 years relevant experience in Data Science.
• Experiencing working with and managing a team of junior data scientists.
• Exposure/interest in machine learning
• Experience manipulating and analyzing large and complex datasets
• A minimum of 5 years relevant experience in Data Science.
• Experiencing working with and managing a team of junior data scientists.
• Exposure/interest in machine learning
• Experience manipulating and analyzing large and complex datasets
• Experience in visualization, creating graphical static and interactive displays of data that clearly communicate insight (preferred)
• Good interpersonal communication and presentation skills
• Ability to work in a fast-paced environment
• Analytical and expansive thinking with a strong desire to deliver and develop

Technical / professional qualifications:

• Bachelor’s or master’s Degree in quantitative fields like Mathematics, Statistics, Economics, Computer Science Engineering, Artificial Intelligence or related fields (essential)
• Professional and/or academic experience in Big Data analytics & deployment of models and algorithms to solve real-world problems (with deep statistical and machine learning modelling expertise)
• Familiarity with visualisation tools (e.g. Tableau, Qlik, D3)
• Experience in data manipulation: use of structured data tools (e.g., SQL), and platforms (e.g., Hadoop, Spark, NoSQL)
• Proficiency in at least one relevant programming language: Python, R
• Experience in major machine learning modelling libraries (e.g., H2O, scikit-learn, PyTorch) and techniques (e.g. random forest, gradient boosting, k-means segmentation, multiple regression, factor analysis, time-series forecasting)

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How to Apply

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