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Senior Data Scientist at Onefi

OneFi is one of Africa’s fastest growing and most innovative FinTech platforms. We are looking to dominate the lending space through technological innovation and pride ourselves on our entrepreneurial and fast-paced culture.

We are looking for a passionate, career driven Senior Data Scientist to join our team. This is a great opportunity to gain significant and substantial experience.



  • University degree in Computer Science, Statistics, Information Systems or related engineering fields , with 5+ years experience in the relevant industry
  • Practical experience with statistical learning techniques such as logistic regression, Naïve Bayes, SVM, decision trees, or neural networks.
  • Financial services domain knowledge including expertise at the intersection of risk, finance and customer domains
  • Strong technical background in Programming, Database Technology, Data Visualization and Big Data

Skill Sets

  • Strong analytical skills with previous experience working with large and complex data sets.
  • Result-oriented team player with exceptional motivation and interpersonal skills
  • Expert in performing statistical analysis, data manipulation and modeling in R and/or Python.
  • Proficient in reporting/visualization using any of the available tools in R, Python, Kibana, etc.
  • Excellent skills in Apache Hadoop and related toolset (MapR, HDFS, YARN, Spark and/or Mlib)


Job Description:

  • Create and implement methods for adaptive learning with associated controls of effectiveness, methods for explaining model decisions where necessary, model validation, as well as A/B testing of models.
  • Creating predictive customer behavioral models using a multitude of data sources
  • Experiment with in-house and external data sets to test feasibility on relevance and value of data to business problems
  • Work with business stakeholders to aid with data driven business decisions
  • Collaborate with engineering to implement predictive models in production environment
  • Pro-actively drive availability of relevant data, tools, and infrastructure


  • AWS Toolchain experience, S3, RedShift, RDS, EMR, Machine Learning

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