As a Data Scientist you'll extract, analyse and interpret large amounts of data from a range of sources, using algorithmic, data mining, artificial intelligence, machine learning and statistical tools, in order to make it accessible to the business and our clients.
Automate scoring using machine learning techniques.
Build recommendation systems.
Build algorithms and design experiments to merge, manage, interrogate, and extract data to supply tailored reports.
Use machine learning tools and statistical techniques to produce solutions to problems.
Test data mining models to select the most appropriate ones for use on a project.
Assess the effectiveness of data sources and data-gathering techniques and improve data collection 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.
Excellent use of building PYTHON packages and deploying them to cloud platforms.
Knowledge of Text analytics and NLP.
Knowledge of Google Analytics and Google Tags.
Knowledge of Microsoft Azure, Teams and Jira.
Experience working with API's to collate and pass information beneficial.
Experience of A/B testing and base statistical methodology beneficial.
Excellent time management to deliver projects on time with great attention to detail.
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