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  • Posted: Jul 25, 2022
    Deadline: Not specified
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    WAYA is a multi-purpose messaging, social media and mobile payment developed by WAYA Multi-link Limited in November 2018. WAYAApp is designed to ease the problems of transactions in Nigeria. We are committed to providing a cashless and secured mobile application that assist businesses, individuals and non-profit organizations in operating sustainably around the world at large.
    Read more about this company

     

    Data Scientist

    We are looking for a Data scientist to utilize their analytical, statistical, and programming skills to collect, analyze, and interpret large data sets. Then use this information to develop data-driven solutions to difficult business challenges. They should have a wide range of technical competencies including: statistics and machine learning, coding languages, databases, and reporting technologies. 

    • 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. 

    Requirement 

    • Bachelor's degree in statistics, math, computer science, or engineering. 

    • Strong problem solving skills with an emphasis on product development. 

    • Experience using statistical computer languages (R, Python, SQL, Spark 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. 

    • Excellent written and verbal communication skills for coordinating across teams. 

    • A drive to learn and master new technologies and techniques. 

    • Minimum of 3 years of experience manipulating data sets and building statistical models, and is familiar with the following software/tools: 

    • Coding knowledge and experience with several languages: Cloud infrastructure (AWS, Azure) etc. 

    • Knowledge and experience in statistical and data mining techniques: Random Forest, text mining, social network analysis, etc. 

    • Experience querying relational and non-relational databases and using statistical computer languages: R, Python, SQL, etc. 

    • Experience using web services: Redshift, S3, Spark, DigitalOcean, etc. 

    • Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc. 

    • Experience visualizing/presenting data for stakeholders using: Power BI, Tableau, Qlick sense, Matplotlib etc. 

    Method of Application

    Interested and qualified candidates should apply using the Apply Now button below.

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