Data Scientist

WPH DIGITAL PTE. LTD.; Singapore; On-site; SGD 60,000 - 85,000; Full time

Job summary

A leading digital solutions company in Singapore is looking for a skilled Data Scientist to translate business challenges into actionable data science projects. Responsibilities include data cleaning, building machine learning models, and presenting findings with compelling narratives and visuals. Candidates should hold a Degree in Computer Engineering, Computer Science, or Information Technology, with proficiency in data analysis and stakeholder management. This role involves active collaboration with stakeholders to refine project parameters and deliver impactful insights.

Qualifications

• Capable of translating business use cases into analytical problems.
• Proficient in cleaning and correcting anomalies in data.
• Experience in model deployment.

Responsibilities

• Facilitate discussions to understand business challenges.
• Perform data cleaning and build data science models.
• Communicate data insights clearly.

Skills

Data analysis

Statistical methodologies

Machine learning

Data visualization

Stakeholder management

Education

Diploma/Degree in Computer Engineering / Computer Science or Information Technology

Job description

Experiences & Skills:

• Capable of translating business use cases into analytical problems and identifying appropriate data sources to tackle these problems.
• Diploma/Degree in Computer Engineering / Computer Science or Information Technology
• 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
• 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.

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