Data Scientist (with Data Engineering Skills)

Science Valley Retes Sdn Bhd; Selangor; On-site; MYR 60,000 - 90,000; Full time

Job summary

A data solutions company in Malaysia is seeking a Mid to Senior Data Scientist to lead the design and development of data-driven solutions. The ideal candidate should have expertise in machine learning, data engineering, and strong analytical skills to drive impactful results. This position involves working independently and collaboratively with cross-functional teams. Competitive benefits include medical and travel allowances, along with annual leave.

Benefits

Annual leave of at least 14-18 days

Medical leave

Medical benefits

Monthly allowance

Travel allowance

Company trips

Qualifications

• 3 to 5+ years of experience in data science.
• At least 2-3 years of hands-on experience in data engineering or backend workflows.

Responsibilities

• Develop and deploy RAG applications and chatbots.
• Engineer robust prompts for consistent LLM outputs.
• Collaborate with medical experts to define use cases.

Skills

Python

SQL

LangChain

LangGraph

Tableau

Machine Learning

Deep Learning

Statistical Modeling

Education

Bachelor's degree or Master's degree in Computer Science, Data Science, Engineering, Statistics, or related discipline

Job description

Overview

Position: Data Scientist with Data Engineering Skills

As a Mid to Senior Data Scientist with Data Engineering Skills, you will lead the design and development of data-driven solutions by leveraging your expertise in machine learning, statistical analysis, and scalable data infrastructure. You’ll work independently and with cross-functional teams to influence data strategy and analytics architecture. This role requires a strong blend of analytical mindset and engineering rigor to drive real-world impact from data.

Responsibilities

• Data Science: Develop and deploy RAG applications and chatbots using frameworks like LangChain and LangGraph.
• Process and vectorize unstructured documents and data for efficient retrieval.
• Engineer robust prompts and techniques to ensure consistent and accurate LLM outputs.
• Fine-tune open source LLMs on public or custom datasets using efficient fine-tuning methods.
• Develop and deploy machine learning models to support diagnostic insights, predictive outcomes, predictive equipment failures, operational forecasting, and related needs.
• Conduct in-depth data analysis to identify trends and generate actionable business insights, especially from medical and laboratory data and data from other industries.
• Collaborate with medical experts, product managers, and business analysts to define use cases and success metrics.
• Communicate complex data concepts clearly to both technical teams and non-technical stakeholders in healthcare and other industries.

Data Engineering

• Design, build, and optimize scalable data pipelines and architectures to support data science workflows and real-time analytics.
• Ingest and process large volumes of structured and unstructured data from diverse sources such as diagnostic devices, EMRs, and IoT systems.
• Ensure high standards of data quality, security, and compliance—especially within regulated healthcare environments.
• Work with DevOps and software engineers to operationalize models and data products into production systems.

Qualifications

• Education & Experience: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Statistics, or a related discipline.
• 3 to 5+ years of experience in data science, with at least 2–3 years of hands-on experience in data engineering or backend data workflows.

Technical Skills:

• High proficiency in Python and SQL.
• Hands-on experience with LangChain and LangGraph.
• Demonstrable experience building complex RAG systems.
• Experience using Tableau or other similar tools.
• Strong grasp of machine learning, deep learning, and statistical modeling.
• Experience working in regulated environments, with strong data sovereignty and on-premise deployment.

Soft Skills:

• Ability to work independently and take ownership of end-to-end solutions.
• Strong communication skills, especially in translating complex data concepts into business language.
• Mentoring experience or leadership in guiding junior data scientists or engineers is a plus.
• Comfortable operating in fast-paced, evolving environments.

Benefits

• Annual leave of at least 14-18 days per year
• Medical leave in accordance with local labour laws
• Monday to Friday work schedule (5 days)
• Monthly allowance
• Medical benefits
• Travel allowance
• Maternity/paternity leave
• Company trips