Data Scientist: Digital Transformation & AI Solutions

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

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.