Data Scientist

HORIZON COMPUTER MANAGEMENT PTE. LTD.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading data solutions provider located in Singapore is seeking an experienced Data Scientist. The ideal candidate will analyze large datasets, design models for analytics, and translate requirements into data-driven solutions. A Bachelor's or Master's degree in a related field and at least 5 years of experience are required. Proficiency in Python and R is essential, along with skills in SQL and machine learning libraries. This position offers the opportunity to influence business strategies and enhance decision-making through data.

Qualifications

• Minimum 5 years of professional experience as a Data Scientist or in a similar analytical role.
• Solid understanding of statistics, probability, and linear algebra.
• Hands-on experience with SQL and relational / non-relational databases.

Responsibilities

• Analyze large, structured and unstructured datasets to identify trends, patterns, and insights.
• Design, develop, and deploy machine learning and statistical models for predictive and prescriptive analytics.
• Perform data cleaning, feature engineering, and exploratory data analysis (EDA).
• Develop dashboards, reports, and visualizations to communicate insights to technical and non-technical stakeholders.
• Optimize model performance and ensure scalability, reliability, and accuracy.

Skills

Python

R

Scikit-learn

TensorFlow

PyTorch

XGBoost

SQL

Power BI

Tableau

Matplotlib

Seaborn

Spark

Hadoop

Education

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field

Job description

Key Responsibilities

• Analyze large, structured and unstructured datasets to identify trends, patterns, and insights.

• Design, develop, and deploy machine learning and statistical models for predictive and prescriptive analytics.

• Perform data cleaning, feature engineering, and exploratory data analysis (EDA).

• Build and validate models using techniques such as regression, classification, clustering, time-series forecasting, and anomaly detection.

• Collaborate with business stakeholders to understand requirements and convert them into data-driven solutions.

• Develop dashboards, reports, and visualizations to communicate insights to technical and non-technical stakeholders.

• Optimize model performance and ensure scalability, reliability, and accuracy.

• Work closely with Data Engineers to ensure proper data pipelines and data availability.

• Document methodologies, assumptions, and results clearly for audit and knowledge transfer.

• Stay updated with emerging trends, tools, and best practices in data science and AI.

Required Skills & Qualifications

Education:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.

Experience:

• Minimum 5 years of professional experience as a Data Scientist or in a similar analytical role.

Technical Skills:

• Strong proficiency in Python and/or R.

• Experience with machine learning libraries such as Scikit-learn, TensorFlow, PyTorch, or XGBoost.

• Solid understanding of statistics, probability, and linear algebra.

• Hands‑on experience with SQL and relational / non-relational databases.

• Experience with data visualization tools (e.g., Power BI, Tableau, Matplotlib, Seaborn).

• Familiarity with big data technologies (e.g., Spark, Hadoop) is an advantage.

• Experience deploying models in production environments (APIs, cloud platforms).