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  • Posted: Sep 2, 2020
    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

    RESPONSIBILITIES:

    • 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.
    • Deploy tools for anti fraud detection and prevention

    Qualifications for Data Scientist

    • Strong problem solving skills with an emphasis on product development.
    • Experience using statistical computer languages (mongodb, power BI, VueJS,, MySQL) 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.
    • We’re looking for someone with 5-7 years of experience manipulating data sets and building statistical models, has a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:
    • Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.
    • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
    • Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
    • Experience using web services AND AWS, etc.
    • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
    • Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
    • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
    • Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

    Method of Application

    Interested and qualified candidates should apply using the Apply Now button below.
  • Apply Now
  • Send your application

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