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Data Scientist

8,000 SGDSingapore, SGScore 65/100today
Market insights
📊 AI / ML / Data Science: salaries and demand on the market
Stack
Liaising with project stakeholdersData StorytellingBusiness RulesData CleaningResults analysislaptop systemsanalysis toolsStructured AnalysisStakeholder Engagementad hoc data analysisAI ModelsRating Agency
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Description
RESPONSIBILITY o To use Python/R or other tools to generate Monthly draft billing statement (overall and by agencies) based on source inputs and business rules o 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 o The above work shall be done on Government issued laptops o Facilitate discussions with stakeholders to understand their business challenges, sharpen the business use cases and translate them into data science projects o Perform data cleaning, pre-processing, feature engineering, and build data science models to address the use case o Identify data quality issues from source inputs and propose changes that can help to reduce these occurrences o Present findings, solicit feedback and prioritise refinements to the analysis in close iteration with stakeholders while managing overall project timeline o Communicate the data insights in a clear and compelling narrative, supported with impactful visuals, to influence key decision makers o Depending on the use case, design of dashboards and interactive visualisations as tools for data exploration and storytelling may be expected EXPERIENCE AND SKILLS NEEDED o Capable of translating business use cases into analytical problems, and identifying appropriate data sources to tackle these problems. o Proficient in writing scripts in R/Python for data preparation and analysis, using modern analysis tools & programming methodologies. o 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. o Proficient in exploring and analysing datasets, applying probability and statistical methodologies and techniques to discover insights from the data. o Proficient in building machine learning models to identify, recognise patterns and make predictions. o Proficient in design principles and use of visualisations to best convey the intended information. o 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. o Capable of translating results from analysis work into actionable recommendations for stakeholders. o Capable of communicating results from analysis work in a coherent data story for stakeholders. o Experience in model deployment. o Experience in stakeholder management. o Experience in agile project management.
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