Intermediate Data Specialist at Workforce Africa

Intermediate Data Specialist

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

Requirements

• 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