Mid-Level Data Scientist / Engineer

Data Analysis And Interpretation Join us on a transformational journey to reshape Africa's digital landscape! As part of a leading Pan-African telecommunications company, you'll be at the forefront of innovation, contributing to the creation of future-focused digital products at our Software Engineering Centre of Excellence. We are seeking a talented Data Scientist/Engineer to develop and implement cutting-edge data-driven solutions. This hybrid role, based in Cape Town or Johannesburg, offers a unique opportunity to grow your career while making a tangible impact across the continent.
Key Responsibilities:Analyze large, complex datasets to extract meaningful insights and trends.Develop and implement statistical models and machine learning algorithms.Data EngineeringDesign, build, and maintain scalable data pipelines.Ensure data quality and integrity across various data sources.Optimize data storage and retrieval processes.CollaborationWork closely with cross-functional teams, including product, engineering, and business teams, to understand data needs and deliver solutions.Communicate findings and recommendations to stakeholders in a clear and concise manner.Research And DevelopmentStay updated with the latest advancements in data science and data engineering.Experiment with new tools, techniques, and technologies to improve data processes and analytics.Deployment And MaintenanceDeploy data pipelines and machine learning models into production and monitor their performance.Continuously improve and maintain existing data pipelines, data models and infrastructure.QualificationsBachelor's or Master's degree in Computer Science, Data Science, Statistics, Engineering, or a related field.Experience:Minimum of 5 years industry experience in data science, data engineering, or a related field.Proven experience with data analysis, data engineering, data modeling, statistical modeling, and machine learning.Technical Skills:Proficiency in programming languages such as Python, R, or Scala.Experience with data processing frameworks like Apache Spark, Hadoop, or similar.Strong SQL skills and experience with relational databases.Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.Experience with data visualization tools like Tableau, Power BI, or similar.
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