Job Description

Job Title:

Data Scientist

Location:

Singapore (Open to Malaysian candidates willing to relocate)

Employment Type:

Full-time

About the Role

We are seeking a highly motivated

Data Scientist

to join our growing analytics team in Singapore. This role is ideal for candidates who are passionate about data, machine learning, and advanced analytics, and who are excited to solve complex business problems through data-driven insights.

You will collaborate closely with cross-functional teams in product, engineering, and business units to design and implement predictive models, optimize processes, and support strategic decision-making.

Key Responsibilities

Collect, clean, and analyze large datasets to identify trends, patterns, and actionable insights. Develop, test, and deploy

machine learning models

to address business challenges. Perform exploratory data analysis (EDA) and statistical modeling. Work with engineering teams to implement scalable data pipelines and production-ready models. Translate data findings into clear recommendations for stakeholders and decision-makers. Create data visualizations and dashboards to communicate insights effectively. Stay updated with the latest techniques in

AI, ML, and big data technologies

.

Job Requirements

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field. 2+ years of hands-on experience in data science, analytics, or machine learning. Strong proficiency in

Python, R, or SQL

. Experience with

machine learning libraries

(TensorFlow, PyTorch, Scikit-learn, etc.). Proficiency with data visualization tools (Tableau, Power BI, or similar). Knowledge of cloud platforms (AWS, GCP, or Azure) is a plus. Strong analytical, problem-solving, and communication skills. Open to

Malaysian candidates willing to relocate to Singapore

.
Job Type: Full-time

Pay: RM45,000.00 - RM50,000.00 per month

Benefits:

Health insurance Maternity leave Opportunities for promotion Professional development
Work Location: In person