Data Scientist (Image Processing / Image Classification)

Mindteck, Inc.; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Job summary

Mindteck, Inc. is seeking a Data Scientist (Image Processing / Image Classification) for its Penang R&D team. You will apply ML, statistics, and image analytics to real-world engineering challenges, building scalable analytics workflows and data-driven solutions.

The role emphasizes collaboration with global teams, data governance, and mentoring junior members while advancing technology development and validation efforts.

Qualifications

• Bachelor's, Master's, or PhD in Data Science, Statistics, CS, or related field.
• 3+ years in data science, ML, image processing or advanced analytics.
• Experience in R&D, engineering, manufacturing or technology environments preferred.
• Strong image processing / classification experience.
• End-to-end analytics: data sourcing, preprocessing, deployment, reporting.
• Strong statistics and ML foundation; CRISP-DM and hypothesis-driven approach.

Responsibilities

• Conduct data-centric evaluations to support R&D projects and validation.
• Apply statistical analysis and ML to engineering problems.
• Develop and implement image processing and image classification solutions.
• Feature engineering, model development, validation, and optimization.
• Create visualizations and reports; communicate results to stakeholders.
• Collaborate across global teams and mentor junior colleagues.

Skills

Python

NumPy

SQL

Machine Learning

Statistics

Data Visualization

Education

Bachelor's/Master's/PhD in a quantitative field

Tools

OpenCV

TensorFlow

PyTorch

Spark/Databricks

Azure/AWS/GCP

Git

Power BI/Tableau

Job description

Find work that actually fits - with teams building things that matter

Data Scientist (Image Processing / Image Classification)

Job Code: IN-240826-6361

Contract

Job Summary

We are looking for a Data Scientist specializing in Image Processing and Image Classification to join our R&D team in Penang. The ideal candidate will have a strong foundation in data science, statistics, machine learning, and image analytics, with experience applying analytical solutions to real-world engineering, manufacturing, electronics, or technology-driven problems.

The role involves working closely with cross-functional R&D teams to transform complex engineering and scientific problems into data-driven solutions, while contributing to technology development, validation, and continuous improvement initiatives.

Key Responsibilities:

Conduct data-centric evaluations, analytical studies, and investigations to support R&D projects, technology development, and validation activities.

Apply statistical analysis and machine learning techniques to solve complex engineering and scientific problems.

Develop and implement image processing and image classification solutions for R&D and technology applications.

Perform feature engineering, model development, validation, and performance optimization.

Translate engineering and scientific requirements into practical, scalable analytical solutions.

Perform data sourcing, preparation, transformation, and ETL activities for analytical projects.

Leverage Cloud and Big Data technologies to enable scalable data exploration, processing, and advanced analytics.

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

Develop reproducible analytics workflows and maintain appropriate technical documentation.

Visualization & Data Storytelling

Create clear and impactful visualizations, dashboards, and analytical reports.

Communicate complex analytical findings effectively to both technical and non-technical stakeholders.

Use data storytelling techniques to translate analytical insights into actionable recommendations.

Work with tools such as Power BI or Tableau where required.

Collaborate with cross-functional R&D, engineering, and technology teams across different locations.

Lead analytical workstreams and contribute to technical decision-making where required.

Mentor junior team members and influence cross-functional teams without formal authority.

Support agile ways of working and contribute to continuous improvement of data science methodologies, tools, and best practices.

Participate in peer reviews and ensure analytical solutions meet quality and governance standards.

Required Qualifications & Experience

Bachelor's, Master's, or PhD in Data Science, Statistics, Computer Science, Applied Mathematics, Physics, Engineering, or a related quantitative discipline.

3+ years of relevant experience in data science, machine learning, image processing, image classification, or advanced analytics.

Experience working in R&D, engineering, manufacturing, electronics, or other technology-driven environments is highly preferred.

Strong experience with image processing and/or image classification techniques.

End-to-end experience across analytics projects, including:

Data sourcing and ETL

Data preprocessing

Deployment/automation

Stakeholder reporting

Strong foundation in statistics and machine learning, including classification, regression, clustering, time-series analysis, optimization, experimental design, and model validation.

Strong problem-solving skills with a structured and hypothesis-driven approach, such as CRISP-DM.

Experience developing reproducible analytics, maintaining documentation, conducting peer reviews, and implementing data quality checks.

Technical Skills

Required:

Python, including libraries such as:

NumPy

SQL

Machine Learning and Statistical Analysis

Image Processing / Image Classification

Data Visualization and Analytical Reporting

Preferred

Big Data technologies such as Apache Spark or Databricks

Cloud platforms such as Azure, AWS, or GCP

Git

APIs

Docker and CI/CD

Power BI or Tableau

Experience with computer vision libraries/frameworks such as OpenCV, TensorFlow, or PyTorch is an advantage.

Excellent analytical and structured problem-solving skills.

Strong data storytelling and communication abilities.

Ability to translate complex engineering problems into practical analytical solutions.

Strong collaboration and stakeholder management skills.

Ability to work effectively with global, multicultural teams across different sites and time zones.

Experience working with international stakeholders is an advantage.

Curious, proactive, and committed to continuous learning and improvement.

Ability to work independently while contributing effectively to cross-functional teams.

Willingness to mentor junior colleagues and lead analytical workstreams when required.

High standards of confidentiality when handling sensitive or proprietary data.

Willingness to travel when required.

Preferred Candidate Profile

The ideal candidate is a hands-on Data Scientist with strong Image Processing/Image Classification experience, combined with solid Python, SQL, machine learning, and statistical skills. Experience applying data science within R&D, manufacturing, electronics, or engineering environments will be highly valued.

• Job Location Penang, Malaysia
• Job Type: Contract
• Experience 3 Years
• Education Bachelor's, Master's, or PhD in Data Science, Statistics, Computer Science, Applied Mathematics, Physics, Engineering, or a related quantitative discipline.