Data Engineer (Remote) at TeamApt

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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 the over 350 million Africans who are currently financially underserved will economically empower them and put them on a path to becoming the next generation of middle-class Africans.

We are recruiting to fill the position below:

Job Title: Data Engineer

Location: Lagos (Remote)

Job Summary

  • Engineering at TeamApt is an inspired, customer-focused community, dedicated to crafting solutions that redefine our industry.
  • Our infrastructure runs on some of the cool tools that excite infrastructure engineers.
  • We also make business decisions based on the large stream of data we receive daily, so we work daily with big data, perform data analytics and build models to make sense of the noise and give our customers the best experience.
  • If this excites you, it excites us too and we would love to have you.

Job Description
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 modelling 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:

  • Strong problem-solving skills with an emphasis on product development.
  • Experience using statistical computer languages (R, Python, SQL, 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.
  • We’re looking for someone with a minimum of 3 years of experience manipulating data sets and building statistical models.
  • BSc in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools: C, C++, Java.

Skills:
Some of the technologies you’ll get to work with:

  • Java (latest versions)
  • C++, C
  • SQL, Python, R.

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.

Application Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should:
Click here to apply online

What to expect in the hiring process

  • A preliminary phone call with the recruiter
  • A technical interview with a Lead in our Engineering Team
  • A behavioural and technical interview with a member of the Executive team.

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