M08 - Data Scientist

FPT Asia Pacific; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

FPT Asia Pacific is seeking a data analytics professional to translate business use cases into analytical projects and build data science solutions. You will develop scripts in Python/R, clean and process diverse data, and create compelling visuals to support decision makers.

You will collaborate with stakeholders to refine use cases, deploy models where appropriate, and design dashboards that enable real-time storytelling and performance insights for government and enterprise users.

Qualifications

• Translating business use cases into analytical problems.
• Proficient scripting in Python/R for data prep and analysis.
• Clean, impute, and correct anomalies in structured/unstructured data.
• Explore datasets with statistical methods to derive insights.

Responsibilities

• Use Python/R to generate monthly draft billing statements based on inputs and rules.
• Process inputs and visualise on PowerBI monthly reports for vendor performance and scorecards.
• Engage stakeholders to understand business challenges and translate them into data science projects.
• Perform data cleaning, preprocessing, feature engineering, and build models for use cases.

Skills

Python

R

Data visualization

Statistical analysis

Machine learning

Stakeholder management

Agile project management

Tools

PowerBI

SQL

Jupyter

Job description

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.