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  • Posted: May 19, 2022
    Deadline: Not specified
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    Moniepoint is a financial technology company digitising Africa’s real economy by building a financial ecosystem for businesses, providing them with all the payment, banking, credit and business management tools they need to succeed.
    Read more about this company

     

    Head of Data Science

    Job Summary

    • You will manage a range of data driven functions, including overseeing data management, creating data strategy and improving data quality.

    Job Responsibilities
    What you’ll get to do:

    • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
    • Mine and analyze data from company databases 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.
    • Develop custom data models and algorithms to apply to data sets.
    • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
    • Develop company A/B testing framework and test model quality.
    • Coordinate with different functional teams to implement models and monitor outcomes.
    • Develop processes and tools to monitor and analyze model performance and data accuracy.

    Requirements
    To succeed in this role, we think you should have:

    • BSc in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools: C, C++, Java.
    • At least 5 years of working experience in a data science position, preferably working as a Senior Data Scientist.
    • Strong problem-solving skills with an emphasis on product development.
    • Experience using statistical computer languages (R, Python, SQL, Java etc.) to manipulate data and draw insights from large data sets.
    • Experience working with and creating data architectures.
    • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
    • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
    • Experience leading and building a distributed team of world class data scientists, data engineers and data analysts. 
    • Excellent written and verbal communication skills for coordinating across teams.
    • A drive to learn and master new technologies and techniques, and set pace for the data structure of the organisation.

    What we can offer you

    • Culture -We put our people first and prioritize the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
    • Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
    • Compensation - You’ll receive an attractive salary, pension, health insurance, Employee Stock Options, annual bonus, plus other benefits.

    Method of Application

    What to expect in the hiring process

    • A preliminary phone call with the recruiter
    • An interview with the Hiring Manager.
    • An interview with a member of our Executive team.
    Interested and qualified? Go to Moniepoint Inc. (Formerly TeamApt Inc.) on boards.eu.greenhouse.io to apply

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