Data scientist

Overview

Description:

Responsibilities:

• Facilitate discussions with stakeholders to understand their business challenges, sharpen the business use cases and translate them into data science projects
• Perform data cleaning, pre-processing, feature engineering, and build data science models to address the use case
• Present findings, solicit feedback and prioritise refinements to the analysis in close iteration with stakeholders while managing overall project timeline
• Communicate the data insights in a clear and compelling narrative, supported with impactful visuals, to influence key decision makers
• Depending on the use case, design of dashboards and interactive visualisations as tools for data exploration and storytelling may be expected
• Capable of translating business use cases into analytical problems, and identifying appropriate data sources to tackle these problems

Qualifications

• Capable of translating business use cases into analytical problems, and identifying appropriate data sources to tackle these problems.
  
  
• Proficient in writing scripts for data preparation and analysis, using modern analysis tools & programming methodologies.
  
  
• Proficient cleaning, imputing and correcting anomalies in the collected structured or unstructured data to ensure a high standard of quality in data sets to be used in the analysis work.
  
  
• Proficient in exploring and analysing datasets, applying probability and statistical methodologies and techniques to discover insights from the data.
  
  
• Proficient in building machine learning models to identify, recognise patterns and make predictions.
  
  
• Proficient in design principles and use of visualisations to best convey the intended information.