Kobo360 is a tech-enabled digital logistics platform that aggregates end-to-end haulage operations to help cargo owners, truck owners and drivers, and cargo recipients to achieve an efficient supply chain framework. Through an all-in-one robust logistics ecosystem, Kobo uses big data and technology to reduce logistics frictions, empowering rural farmers to earn more by reducing farm wastages and helping manufacturers of all sizes to find new markets
We are recruiting to fill the position below:
Job Title: Data Science Engineer
Location: Nigeria
Job Description
- We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with our products.
Responsibilities
- Selecting features, building and optimizing classifiers using machine learning techniques
- Data mining using state-of-the-art methods
- Extending the company’s data with third-party sources of information when needed
- Enhancing data collection procedures to include information that is relevant for building analytic systems
- Processing, cleansing, and verifying the integrity of data used for analysis
- Doing the ad-hoc analysis and presenting results in a clear manner
- Creating automated anomaly detection systems and constant tracking of its performance
Skills and Qualifications
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
- Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable
- Great communication skills
- Experience with data visualisation tools, such as D3.js, GGplot, etc.
- Proficiency in using query languages such as SQL, Hive, Pig
- Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
- Good applied statistics skills, such as distributions, statistical testing, regression, etc.
- Good scripting and programming skills
- Data-oriented personality
Application Closing Date
Not Specified.
How to Apply
Interested and qualified candidates should send their Applications to:
[email protected]
Note: Even though no degree is listed, we certainly appreciate you may have one. But in this business, what matters is what you can do. You will certainly like to be part of this. So, apply.