Data Scientist (with Data Engineering Skills)

Science Valley Retes Sdn Bhd; Selangor; On-site; MYR 200,000 - 250,000; Full time

Job summary

An innovative firm is seeking a Mid to Senior Data Scientist with Data Engineering skills to lead the design and development of data-driven solutions. This role involves leveraging machine learning and statistical analysis to deliver impactful insights, while collaborating with cross-functional teams. The ideal candidate will possess a strong analytical mindset and engineering rigor, ensuring high standards of data quality and compliance within regulated environments. Join a forward-thinking company where your contributions will shape the future of data analytics and drive real-world impact.

Qualifications

• 3 to 5+ years of experience in data science and data engineering.
• Strong grasp of machine learning and statistical modeling.

Responsibilities

• Develop and deploy machine learning models for predictive insights.
• Design and optimize scalable data pipelines for real-time analytics.

Skills

Python (Pandas, NumPy, scikit-learn)

SQL

Machine Learning

Data Visualization (Tableau)

Statistical Modeling

Cloud Platforms (AWS/GCP/Azure)

Data Pipeline Tools (Apache Airflow, Spark, Kafka)

CI/CD Pipelines

Docker

Kubernetes

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Statistics

Tools

Tableau

Apache Airflow

Spark

Kafka

Snowflake

Databricks

BigQuery

Job description

Data Scientist (with Data Engineering Skills)

Position: Data Scientist with Data Engineering Skills

Job Overview

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 be expected to work independently and collaboratively with cross-functional teams, influence data strategy, and contribute to shaping analytics architecture. This role demands a strong blend of analytical mindset and engineering rigor to drive real-world impact from data.

Key Responsibilities

Position: Data Scientist with Data Engineering Skills

Job Overview

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 be expected to work independently and collaboratively with cross-functional teams, influence data strategy, and contribute to shaping analytics architecture. This role demands a strong blend of analytical mindset and engineering rigor to drive real-world impact from data.

• website link: https://svrtech.com.my/

Key Responsibilities

Data Science:

• Develop and deploy machine learning models to support diagnostic insights, predictive patient outcomes, predictive equipment failures, operational forecasting, and etc.

• 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:

• Proficient in Python (Pandas, NumPy, scikit-learn) and SQL.

• Experience using Tableau or other similar data visualization tools.

• Strong grasp of machine learning, deep learning, and statistical modeling.

• Experience with data pipeline tools and frameworks: Apache Airflow, Spark, Kafka, or similar.

• Deep understanding of cloud platforms (AWS/GCP/Azure), especially cloud-based data services.

• Familiarity with CI/CD pipelines, Docker, and container orchestration (e.g., Kubernetes).

• Exposure to modern data platforms: Snowflake, Databricks, BigQuery, etc.

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.

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Your application will include the following questions:

• What's your expected monthly basic salary?
• Which of the following types of qualifications do you have?
• How many years' experience do you have as a Data Engineer?
• How many years' experience do you have using SQL queries?
• Have you worked in a role which requires experience with machine learning?
• Which of the following data analytics tools are you experienced with?
• How many years' experience do you have as a Platform Engineer?
• How many years' experience do you have as a Cloud Data Engineer?

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