Data Scientist (with Image processing exp)

Mindteck; Bayan Lepas; On-site; MYR 120,000 - 180,000; Full time

Job summary

Jora Malaysia is seeking a Data Scientist with experience in image processing to join our R&D team in Malaysia. You will conduct data-centric evaluations, collaborate with cross-functional teams, and translate complex engineering problems into analytical solutions.

The role emphasizes end-to-end analytics, data sourcing, feature engineering, modeling, deployment, and stakeholder reporting, with strong emphasis on data quality and governance and excellence in communication.

Qualifications

• End-to-end analytics project experience: data sourcing/ETL, feature engineering, modeling, deployment/automation and stakeholder reporting; familiarity with agile ways of working.

Responsibilities

• Conduct data-centric evaluations and analytical studies to support R&D projects/initiatives, technology development and/or validation activities.
• Collaborate with cross-functional R&D teams to translate engineering and/or scientific ideas/problems into analytical solutions.
• Perform data-driven asset utilization using Cloud/Big‑Data technologies to enable scalable data exploration, processing and advanced analytics.
• Generate clear and impactful visualizations, dashboards and analytical reports to communicate findings to technical and non-technical stakeholders.
• Ensure data quality, consistency, and traceability through sound data management and governance practices.
• Contribute to the continuous improvements of data science methodologies, tools, and best practices within the R&D environment.

Skills

Python

SQL

Statistics

Machine learning

Education

Bachelor/Master/PhD in Data Science or related field

Tools

Spark/Databricks

Git

Docker

APIs

Job description

Jora Malaysia will close on 9th September 2026. Thank you for being with us, we are cheering you on as you continue your career journey.

Data Scientist (with Image processing exp)

Data Scientist (Image Processing, Computer Vision)

Your new responsibilities

Conduct data‑centric evaluations and analytical studies to support R&D projects/initiatives, technology development and/or validation activities.

Collaborate with cross‑functional R&D teams to translate engineering and/or scientific ideas/problems into analytical solutions.

Perform data-driven asset utilization using Cloud/Big‑Data technologies to enable scalable data exploration, processing and advanced analytics.

Generate clear and impactful visualizations, dashboards and analytical reports to communicate findings to technical and non‑technical stakeholders.

Ensure data quality, consistency, and traceability through sound data management and governance practices.

Contribute to the continuous improvements of data science methodologies, tools, and best practices within the R&D environment.

What we look for

Bsc/MSc/PhD in Data Science, Statistics, Computer Science, Applied Mathematics, Physics, Engineering or a related quantitative field.

Experience working in R&D/technology-driven environments (e.g., engineering, manufacturing, electronics) with a strong focus on measurable business impact.

End-to-end analytics project experience: data sourcing/ETL, feature engineering, modeling, deployment/automation and stakeholder reporting; familiarity with agile ways of working.

Primarily an individual contributor with the ability to lead workstreams, mentor junior colleagues and influence cross-functional teams without formal authority.

Comfortable collaborating in global, multicultural teams across sites and time zones; experience working with international stakeholders is a plus.

Strong foundation in statistics and machine learning (regression/classification, time-series, clustering, optimization), experimental design and model validation, etc.

Structured problem solving (hypothesis-driven analysis/CRISP-DM), reproducible analytics, documentation and peer review; data quality checks and governance/traceability practices, etc.

Python (pandas, NumPy, scikit-learn) and/or SQL required; Big Data tools (Spark/Databricks) and Cloud platforms (Azure/AWS/GCP) preferred; Git, APIs, Docker/CI-CD basics; Power BI/Tableau for dashboards, etc.

English – fluent (spoken and written). Additional local language(s) beneficial.

Excellent communication and data storytelling, strong collaboration and stakeholder management, curiosity and learning agility, able to translate engineering problems into analytical solutions, etc.

High standards for confidentiality and handling sensitive data; proactive continuous-improvement mindset, willingness to travel if needed, etc.