The ideal candidate should be dynamic, result oriented and self-motivated professional possess the following skills
Selecting features, building and optimizing classifiers using machine learning techniques
Data mining using state-of-the-art methods
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
Requirements :
Minimum 1 year experience in the relevant field
Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, Linear Regression, Logistic Regression, Artificial Neural Network, Convolutional Neural Network, Recurrent Neural Network, etc.
Experience with Python data science toolkits, such asscikit-learn, Pandas, NumPy,Matplotlib,, etc
Great communication skills
Experience with data visualisation tools, such as D3.js, GGplot, etc.
Experience with NoSQL databases, such as MongoDB and relational database such as Postgres
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Good scripting and programming
Data-oriented personality
Candidate should possess a bachelor’s degree in Computer Science/Software Engineering/Information Technology or an equivalent qualification with Major in Data Science/AI