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We are a technology driven data-analytics company powering intelligent marketing across Africa. We need skilled, talented candidates to join our Team
Chief Technology Officer
The incumbent will help discover the information hidden in vast amount of data and help make smarter decisions to deliver even better products. The primary focus will be in applying data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with our products.
The Data Scientist synthesizes and leverages the business’s dataset and data to enhance the business’ capabilities for overall goal achievement. He/she is instrumental in helping the business continue its evolution into an analytical and data-driven culture.
We are looking to hire someone who is interested in joining highly motivated problem solvers powering the future of intelligent marketing.
Job Duties & Responsibilities
The Senior Data Scientist functions cover;
Selecting features, building and optimizing classifiers using machine learning techniques
Data mining using state-of-the-art methods
Extending 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 ad-hoc analysis and presenting results in a clear manner
Creating automated anomaly detection systems and constant tracking of its performance
Ensure best practice is adopted in processes and techniques for statistical analysis and modelling as well as leading the roll out of Big Data capabilities.
Build effective work relationships and data-fuelled solutions that drive the business closer to its overall goals and objectives
Knowledge of basic programming language eg python
General Liaison with:
Company’s Present & Prospective Clients/Customers Key Internal Liaison:
Business Development & Solutions Delivery, TwinPine, Marketing & Corporate Communications, TML and TL
Educational Qualifications, Certifications, and Experience:
First Degree in Statistics, Mathematics, Machine Learning, Economics and other related quantitative fields
Minimum of four-five (4-5) years working experience within the data science capacity in a fast-paced and complex business settings
Experience in data mining and predictive modeling inclusive of linear and non-Linear regression, logistic regression, and time series analysis models.
Exceptional skills in the use of Ms Word, Ms Excel, PowerPoint, and Outlook, all necessary for the creation of both visually and verbally engaging reports and presentations, for management and key stakeholders.
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 [Python, R]