Data Scientist, Digital Transformation Project

ZENITH INFOTECH (S) PTE LTD.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Zenith Infotech (S) PTE LTD. is seeking a data science professional to work in an agile product team under a Product Manager, designing, developing, and deploying data science products including dashboards, reports, and ML models.

The role involves engaging stakeholders to translate business questions into analytical hypotheses, performing data audits and EDA, and building scalable data pipelines and models for big data. Proficiency in SQL, Python/R, and BI tools is essential.

Qualifications

• At least one end-to-end project delivered in Scrum/Agile environment.
• Strong track record translating business questions into analytical hypotheses and solutions.
• Hands-on experience with ML, statistical modelling, and data mining on large datasets.
• Knowledge of data warehousing, data modelling, and ETL concepts.

Responsibilities

• Design, develop, and deploy data science products—dashboards, reports, and ML models.
• Gather requirements and translate business questions into analytical problem statements.
• Perform data audits, EDA, and feasibility assessments for AI/ML use cases.
• Build data pipelines, feature engineering workflows, and DB models for analytics and ML.
• Train, validate, and deploy ML models on large structured and unstructured data.

Skills

Scrum/Agile experience

Data analysis

Machine learning

Statistical modelling

Communication

Tools

SQL

Python

R

Qlik Sense

Power BI

Tableau

Informatica

Talend

Job description

About the Project:

Digital transformation initiative leveraging cloud, data analytics, and AI to build next-gen data products.

Role:

• Work in an agile product team under Product Manager to design, develop, and deploy data science products - dashboards, reports, and machine learning models.
• Engage stakeholders to gather requirements and translate business questions into analytical hypotheses and data science problem statements.
• Perform data audits, exploratory data analysis (EDA), and feasibility assessments for AI/ML use cases.
• Design and develop data pipelines, feature engineering workflows, and database models to support analytics and ML.
• Build, train, validate, and deploy ML / statistical models on large-scale structured and unstructured datasets.
• Develop interactive dashboards and visual storytelling using Qlik Sense / Power BI / Tableau.
• Optimize model performance, data pipeline performance, and troubleshoot issues.
• Perform code reviews, vulnerability checks, model validation, and UAT with end users.
• Support tech refresh - model retraining, platform migration, regression testing, and code retrofitting.
• Conduct user training, product demonstrations, and knowledge transfer.

Requirements:

• Minimum 1 end-to-end project delivered in Scrum / Agile environment.
• Proven track record translating business problems into analytical solutions with measurable business impact.
• Strong hands-on experience in machine learning, statistical modelling, and data mining on large datasets.
• Strong knowledge of data warehousing, data modelling, and ETL concepts.
• Hands-on experience with:
  • SQL for data querying and analysis
  • Python or R for AI/ML development (e.g. pandas, scikit-learn, TensorFlow, PyTorch)
  • Data visualization: Qlik Sense, Power BI, or Tableau
  • ETL / Data Prep tool: Informatica, Talend, or equivalent.
• Experience with model evaluation, performance tuning, and troubleshooting.
• Familiarity with cloud platforms, code quality practices, and UAT.
• Must be able to obtain security clearance due to project sensitivity.
• Good communication, able to explain complex models to non-technical stakeholders.

EA Licence No: 20S0237