Data Scientist – Kifiya Financial Technologies
Information Technology, Science and Technology
Kifiya Financial Technologies
At Kifiya we value our people, our Human Capital. We offer an innovative and invigorating work environment to enable our people to exercise their talents and grow personally and professionally along with the company. We maintain a professional, yet friendly, environment from which we contribute to our vision of ‘improving the lives of people by making transactions simple, affordable, and within reach’. Our people enjoy opportunities for development and a real chance to make a difference every day.
● Designing and developing high-performance, data-driven systems in a distributed infrastructure to help with credit decision engines.
● Working with large, interesting data sets including historical, real-time and third party data streams
● Making machine learning models and data pipelines available via low-latency and high performance APIs
● Implementing and optimizing ML solutions in collaboration with Data Scientists
● Working closely with the Data Engineering Team to grow the Data Science software infrastructure
● Building mature CI/CD pipelines, monitor and maintain several production deployments
● Designing and building machine learning algorithms, statistical analysis and predictive modeling
● 3 years experience in working with Statistical/Machine Learning models operating on large-scale datasets in production.
● BSC University degree in Math, Statistics, Computer Science, Engineering preferably masters.
● Proficiency in Python and a statically typed language
● Experience in SQL and shell scripting
● Experience in developing and maintaining microservices in a production environment
● cloud infrastructure Experience
● Experience with the AWS stack is a plus
● Working experience with Docker and Kubernetes and developing Rest APIs with Flask or FastAP
Skills and Knowledge:
- Effective Communication skill, team player and avid learner.
- problem solver, detail-oriented and self-motivated.
- Ability to Work with ambiguity and believe in lean experimentation.
- Passionate about data science and Willing to play an essential role in the future of digital lending.
