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Data Scientist (with Data Engineering Skills)

Data Scientist (with Data Engineering Skills)

Science Valley Retes Sdn BhdSelangorMalaysia, Selangor, Malaysia
30+ days ago
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
  • #J-18808-Ljbffr

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    Data Scientist • SelangorMalaysia, Selangor, Malaysia

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