Data Scientist/Engineer

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

KEWMANN PTE. LTD.

KewMann helps organizations to predict and influence human behaviors using big data analytics, artificial intelligence and behavioral science to achieve organisation goals. By leveraging on KewMann's proprietary KewMann AI (KAI) and KewMann Influence Platform (KIP) and other leading big data and fast data solutions, clients can expect significant improvement in their top and bottom line. KewMann headquartered in Singapore and has offices in Malaysia and Hong Kong