Data Scientist/Engineer

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

Job summary

KEWMANN PTE. LTD. in Singapore is seeking a data professional to analyze complex datasets and build scalable predictive models. You will collaborate across teams to extract actionable insights and support data-driven decisions.

The role requires a quantitative background, proficiency in Python and SQL, and familiarity with big data tools. You will contribute to data governance practices and help advance our analytics capabilities in a fast-paced environment.

Qualifications

• Bachelor's degree or equivalent in quantitative field.
• 1 to 5 years' experience in data science or data engineering.
• Deep understanding of predictive modeling, machine learning, clustering and classification techniques.
• Fluency in Python and SQL.
• Knowledge of knowledge graphs and LLMs is advantageous.
• Familiarity with Big Data frameworks and visualization tools (Hadoop, Spark, Superset, Hive).
• Experience in data governance practices is highly desirable.

Responsibilities

• Analyze raw data, assess quality, cleanse and structure for downstream processing.
• Design accurate and scalable prediction algorithms.
• Generate actionable insights for business improvements.

Skills

Predictive modeling

Machine learning

Clustering

Classification

Algorithms

Education

Bachelor's degree or equivalent in quantitative field

Tools

Python

SQL

Hadoop

Spark

Superset

Hive

Knowledge graphs

LLMs

Job description

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.

Responsibilities

• Analyze raw data: assessing quality, cleansing, structuring for downstream processing
• Design accurate and scalable prediction algorithms
• Generate actionable insights for business improvements

Qualifications

• Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
• 1 to 5 years' of experience in data science and/or data engineering
• Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
• Fluency in a programming language (Python, SQL)
• Knowledge of knowledge graph & LLMs will be advantageous
• Familiarity with Big Data frameworks and visualization tools (Hadoop, Spark, Superset, Hive....)
• Experience in data governance implementation or practices (data security, data quality and metadata management) are highly desired