Data Scientist: ML & Predictive Analytics (Dataiku DSS)

XCELLINK PTE. LTD.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

XCELLINK PTE. LTD. is seeking a Data Scientist to build and deploy machine learning models using Dataiku, perform data prep and feature engineering, and derive predictive insights from large datasets. You will present findings to stakeholders and contribute to enterprise AI initiatives.

The role requires hands-on Dataiku DSS experience, strong Python and SQL skills, and a solid foundation in statistical modelling and analytics techniques. Structured and unstructured data handling is essential.

Qualifications

• Proficient experience in Data Science or Machine Learning.
• Hands-on experience with Dataiku DSS.
• Strong Python, SQL, and statistical modelling skills.
• Experience with predictive analytics and machine learning techniques.
• Experience working with structured and unstructured data.
• Strong analytical and problem-solving capabilities.

Responsibilities

• Develop, train, and deploy machine learning models using Dataiku.
• Perform data preparation, feature engineering, and model validation.
• Analyse large datasets to identify trends and opportunities.
• Develop predictive and prescriptive analytics solutions.
• Present analytical findings and recommendations to stakeholders.
• Support enterprise AI and advanced analytics initiatives.

Skills

Data Science

Machine Learning

Python

SQL

Statistical Modelling

Predictive Analytics

Analytical thinking

Problem solving

Data wrangling

Tools

Dataiku DSS

Job description

XCELLINK PTE. LTD. is seeking a Data Scientist to build and deploy machine learning models using Dataiku, perform data prep and feature engineering, and derive predictive insights from large datasets. You will present findings to stakeholders and contribute to enterprise AI initiatives.

The role requires hands-on Dataiku DSS experience, strong Python and SQL skills, and a solid foundation in statistical modelling and analytics techniques. Structured and unstructured data handling is essential.