Deadline of this Job: 15 November 2022
PRIMARY RESPONSIBILITIES:
• 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
Qualification
• Bachelor’s degree (or higher) in computer science, math, software engineering, statistics, data science or a related technical field.
Knowledge
• 5 yrs experience with 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.
Other Vacancies
PRIMARY RESPONSIBILITIES:
• 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
Qualification
• Bachelor’s degree (or higher) in computer science, math, software engineering, statistics, data science or a related technical field.
Knowledge
• 5 yrs experience with 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.
Other Vacancies
Deadline of this Job: 26 November 2022