Data Scientist

Epergne Solutions; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A leading IT services company in Singapore is looking for a Data Scientist to collect and analyze large datasets, develop predictive models, and collaborate with teams. The ideal candidate has strong skills in Python or R, SQL, and experience with cloud platforms. A Bachelor’s or Master’s degree in a relevant field is required along with 7-9 years of relevant experience. This full-time position offers opportunities for impactful analytical work.

Qualifications

• 7-9 years of relevant experience preferred.
• Strong understanding of machine learning concepts.
• Familiar with big data tools and data governance standards.

Responsibilities

• Collect, clean, and analyze large datasets.
• Develop predictive and machine learning models.
• Collaborate with teams to translate insights into solutions.
• Visualize and present analytical findings.
• Ensure data integrity and compliance.
• Evaluate model performance and refine algorithms.

Skills

Proficiency in Python or R

Strong understanding of SQL

Experience with cloud platforms

Familiarity with data visualization tools

Solid foundation in statistics and machine learning

Excellent analytical skills

Problem-solving skills

Communication skills

Education

Bachelor’s or Master’s degree in data science or related field

Tools

Pandas

Scikit-learn

TensorFlow

Power BI

Tableau

AWS

Azure

GCP

Spark

Hadoop

Job description

Overview

Join to apply for the Data Scientist role at Epergne Solutions.

Changi, East Region, Singapore

Responsibilities

• Collect, clean, and analyze large datasets to derive actionable insights.
• Develop predictive and machine learning models to support business decisions.
• Collaborate with cross-functional teams to translate data insights into solutions.
• Visualize and present analytical findings using dashboards and reports.
• Ensure data integrity, quality, and compliance with governance standards.
• Continuously evaluate model performance and refine algorithms.

Skills & Requirements

• Proficiency in Python or R, with experience using data analysis and ML libraries (Pandas, Scikit-learn, TensorFlow, etc.).
• Strong understanding of SQL and data querying.
• Experience with cloud platforms (AWS, Azure, or GCP) and big data tools (Spark, Hadoop).
• Familiarity with data visualization tools such as Power BI or Tableau.
• Solid foundation in statistics, data modeling, and machine learning concepts.
• Excellent analytical, problem-solving, and communication skills.
• Bachelor’s or Master’s degree in data science, Computer Science, Statistics, or related field.
• 7-9 years of relevant experience preferred.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• IT Services and IT Consulting

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