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Company Overview
The lead government agency in Singapore drives the nation’s Smart Nation initiative and public sector digital transformation.
Job Title: Data Scientist, AI Prac (Forward Deployed Team)
What you will be working on:
They facilitate discussions with stakeholders to understand their business challenges, sharpen the business use cases and translate them into data science projects/products.
They perform data cleaning, pre-processing, feature engineering, and build data science models/products to address the use case.
They present findings, solicit feedback and prioritise refinements to the analysis in close iteration with stakeholders while managing overall project timeline.
They communicate the data insights and business impact of the projects/products 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.
Depending on the use case, they operationalise the use case by using existing MLOps platforms to deploy and monitor the machine learning models.
There will be opportunities to be deployed to another government agency as the core data science team for a sustained period of 2-3 years, to build up data science capabilities at the agency. This will involve formulating and implementing strategies to build strong pipeline of impactful projects/products at the agency, and executing these projects or deploying the products into production systems.
What we are looking for:
A Bachelor’s Degree or higher in Data Science, Computer Science, Statistics, Economics, Quantitative Social Science, or related disciplines is required. Relevant certifications (e.g., Coursera) will also be factored in.
At least 2 years of relevant experience, in data science and/or public sector, is needed.
The candidate should be capable of translating business use cases into analytical problems, and identifying appropriate data sources to tackle these problems.
They should be proficient in writing scripts for data preparation and analysis, using modern analysis tools & programming methodologies.
Proficiency in 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 is expected.
The candidate should be proficient in exploring and analysing datasets, applying probability and statistical methodologies and techniques to discover insights from the data.
Proficiency in building machine learning models to identify, recognise patterns and make predictions is necessary.
They should be proficient in design principles and use of visualisations to best convey the intended information.
The candidate should be 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.
They should be capable of translating results from analysis work into actionable recommendations for stakeholders.
The candidate must be capable of communicating results and business impact from analysis work in a coherent data story for stakeholders.
A passion for improving public service and deliver public good using analytics and data is essential.
Preferred requirements:
Experience in model deployment and MLOps is preferred.
Experience in stakeholder management is advantageous.
Experience in agile project management is a plus.
Experience in developing capability in others would be beneficial.
Disclaimer
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