Data Scientist (Machine Learning)

Honda; Selangor; On-site; MYR 80,000 - 110,000; Full time

Job summary

A leading automotive manufacturer is seeking a Senior Executive, Data Scientist to manage machine learning projects. The ideal candidate will have at least 3 years of experience in data science, a strong foundation in machine learning modeling, and excellent communication skills. Responsibilities include defining business problems, designing models, deploying them in a Customer Data Platform, and monitoring their performance. This role offers opportunities to influence analytics and drive significant business impact.

Qualifications

• Minimum of 3 years working experience in data science.
• Experience with SQL and MySQL or other databases.
• Hands-on experience with machine learning algorithms.

Responsibilities

• Define business problems and translate them into ML solutions.
• Conduct exploratory data analysis to uncover trends.
• Design, train, and validate predictive models.
• Deploy models into Customer Data Platform environments.
• Monitor model performance post-deployment.

Skills

Machine learning modeling

Data analysis

SQL

Python

R

Project management

Business intelligence

Attention to detail

Education

Bachelor Degree or Master Degree in Data Science

Job description

Senior Executive, Data Scientist (Machine Learning)

We are seeking a highly capable Data Scientist to join our team, with strong experience in machine learning modeling and a proven ability to lead data projects independently. This role requires end-to-end ownership of analytical initiatives from problem definition and model development to deployment and stakeholder engagement while delivering actionable insights that drive business impact.

JOB SUMMARY

Work closely with stakeholders to define business problems and translate them into ML solutions.

Conduct exploratory data analysis (EDA) to uncover trends, anomalies, and patterns.

Design, train, and validate predictive or classification models using appropriate ML algorithms.

To evaluate and validate the model to assess model robustness and generalization. Compare multiple models and select the best-performing one for production.

To deploy models into Customer Data Platform (CDP) environments

Continuously monitor model performance post-deployment to detect drift and retrain, as necessary.

Ensure all data activities support the Big Data roadmap.

Prepare and review quarterly PDCA reports with the Department Head.

Handle ad-hoc tasks or projects as assigned

Skills & Knowledge

Strong analytical skill with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

Strong verbal and written communication skills with the ability to interface cross functionality with other division/department.

Experience with SQL and MySQL or other related databases.

Knowledge in scripting language; Phyton and R or other related.

Industry experience in data management and analytical.

Experience in business intelligence, Big Data, iOT or other similar areas.

Knowledge in Data Management and advantage to have related certification.

Trustworthiness and dependability.

Orientation towards quality and results, strategic and creative problem solving.

Able to work in a teamwork environment with minimal guidance, Excellent in project management skills.

Self-motivated individuals with a high level of initiative and energy.

Excellent communication, organization, reporting and analytical skills.

Strong in business management and planning.

Hands-on experience with machine learning algorithms, model training, and evaluation.

Education Background

Bachelor Degree or Master Degree in Data Science.

Minimum of working experience in data science of 3 years.