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  • Posted: May 19, 2022
    Deadline: Not specified
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  • TeamApt is Nigeria’s largest Agency banking operator and is now building the largest digital bank offering financial services products tailored to meet the needs of the underserved mass market - micropayments, savings, lending, insurance, pensions - using technology and low cost offline distribution models. We believe providing financial access to t...
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    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 TeamApt on boards.eu.greenhouse.io to apply

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