M08 - Data Scientist

Responsibilities

• To use Python/R or other tools to generate Monthly draft billing statement (overall and by agencies) based on source inputs and business rules

• To use Python/R or other tools to process source inputs and business rules and visualise on PowerBI Monthly contact center reports for vendor performance as well as provide scorecard to ServiceSG agencies

• The above work shall be done on Government issued laptops

• 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

• Identify data quality issues from source inputs and propose changes that can help to reduce these occurrences

• 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

Experience and Skills requirement 

• Capable of translating business use cases into analytical problems, and identifying appropriate data sources to tackle these problems.

• Proficient in writing scripts in R/Python 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.

• Capable of developing data visualisation from standalone graphs and charts on to highly customised tools and apps while tightly integrated to the data systems for real time visualisation of information.

• Capable of translating results from analysis work into actionable recommendations for stakeholders.

• Capable of communicating results from analysis work in a coherent data story for stakeholders.

• Experience in model deployment.

• Experience in stakeholder management.

• Experience in agile project management.