Workforce Africa – Intermediate Data Analyst

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The incumbent will be responsible for:


· 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

· Developing robust analytical models to address complex business problems and driving innovation


· Knowledge of programming languages like SQL, Python, and R

· Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc

· Good, applied statistics skills, such as distributions, statistical testing, regression, etc.

· Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.

· Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau that help to visually encode data

– Proficiency in handling imperfections in data

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