Description
Job Purpose and primary objectives:- responsible for collecting, analysing and interpreting extremely large amounts of data.
- Basic responsibilities include gathering and analysing data, using various types of analytics and reporting tools to detect patterns, trends and relationships in data sets.
Key responsibilities (please specify if the position is an individual one or part of a team):
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
Key Skills/Knowledge:
Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
Experience working with and creating data architectures.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
Experience required:
8-10 Years