• Application Deadline:
• Position: Senior Data Scientist


• Job Type Full Time


• Qualification MBA/MSc/MA , PhD/Fellowship


• Experience 5 - 7 years


• Location Lagos


• Job Field Data Science / Research 
  

Responsibilities

• Understand business problems and design end-to-end analytics use cases


• Conduct advanced statistical analysis to provide actionable insights, identify trends, and measure performance


• Collaborate with model developers to implement and deploy scalable solutions


• Work with stakeholders to identify opportunities for leveraging DA and BM data to drive business solutions


• Mine and analyze data to drive optimization and improvement of product development, marketing techniques, and business strategies


• Assess the effectiveness and accuracy of new data sources and data gathering techniques


• Translate complex functional and technical requirements into detailed architecture, design, and high-performing software


• Code, test, and document new or modified data systems to create robust and scalable applications for data analytics


• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes


• Ensure that data pipelines are scalable, repeatable, and secure, and can serve multiple users within DA


• Develop processes and tools to monitor and analyze model performance and data accuracy

Qualifications

• Master's or Ph.D. Degree in Computer Science or another related field


• 5-7 years of experience working in a data science role


• Proven experience working with large datasets and relational databases (SQL). Deep knowledge of data modeling and understanding of different data structures


• Advanced knowledge of statistical and data mining techniques (regression, decision trees, clustering, neural networks, etc.)


• Experience with C, C++, Java, R, Python, and Matlab is required


• Knowledge of computing tools including Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, and others


• Demonstrated experience with Agile or other rapid development methods


• Curiosity, strong communication, problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes and recommend solutions


• Professional fluency in English is vital, both written and spoken