Data Scientist (Python, Problem Solving , Machine Learning)

Mercedes-Benz Malaysia; Puchong; Hybrid; MYR 90,000 - 120,000; Full time

Job summary

A leading automotive company in Malaysia seeks an experienced AI Consultant to advise on AI applications and develop scalable solutions. The ideal candidate has a Bachelor’s degree and at least 5 years of experience, particularly in a technical environment. Key skills include strong communication, proficiency in Python or R, and a solid understanding of machine learning methods. This position offers flexible working conditions at Wisma Mercedes-Benz.

Qualifications

• Minimum of 5 years’ working experience in AI or related field.
• Experience with Agile methodologies.
• Programming or Data Architecture related certification.

Responsibilities

• Advising customers on the use of AI and translating requirements into models.
• Data preparation, exploratory data analysis, and implementation of AI models.
• Ensuring compliance with data and IT security regulations.

Skills

Excellent communication skills

Good customer service orientation

Result-oriented thinking

Analytical skills

AI methods knowledge

Education

Bachelor’s Degree in Computer Science, Applied Mathematics, Engineering, or related field

Tools

SQL/noSQL

Python

R

Spark

Machine Learning algorithms

Cloud Computing

Job description

About Us

At Mercedes-Benz, we don’t just build cars, we create great software. We develop tomorrow’s mobility together in our product lines, pushing the digitization of the Mercedes-Benz Group AG forward. As a tech company, we are agile, innovative, and always keep our finger on the pulse of change. This is why inner source, FOSS, secure code, DevOps, infrastructure as code (IaC), data analytics, artificial intelligence, and many more are core components of our daily work.

IT is our passion, and we move toward a bright future, sometimes quickly, sometimes creatively but always together.

We believe in integrity, trust, and transparency as part of our flexible work culture, with a strong emphasis on teamwork and the learning process, making mistakes, and achieving continuous progress together in all products we create and develop within the Mercedes-Benz Group.

Our workplace is anywhere with a fast connection whether remotely at home, at your favorite café, or at our integrated office at Wisma Mercedes-Benz, which comes with an LRT station at its doorstep, an al fresco cafeteria, ample greenspaces, and free parking.

Job Description

• Advising the customer on the use of AI, capturing the requirement and translating the requirement into suitable mathematical models
• Data preparation, exploratory data analysis and statistical analysis.
• Conception of labelling processes
• Selection, implementation and configuration of suitable (machine learning / semantic) models and procedures
• Conception and implementation of automated pipelines for model creation and quality assurance
• Conception and implementation of infrastructure and software to integrate AI into software products in a scalable way.
• Ensuring compliance with applicable rules in the areas of data, AI and IT security compliance
• Documentation and communication of the procedures and results in a target group-adequate form.

Qualifications/ Experiences

• Minimum of 5 years’ working experience in a related field is required.
• Bachelor’s Degree in Computer Science, Applied Mathematics, Engineering, or any other technology related field.
• Experience with Agile methodologies
• Experience with Enterprise technologies
• Experience with Product Oriented Teams
• Programming or Data Architecture related certification

Specific knowledge/ Skill

• Excellent communication skills
• Good customer service orientation
• Analytical, passionate and drives technology and product quality
• Result-oriented thinking and action
• Has a broad and deep understanding of AI methods and their applicability in day-to-day operations.
• Possesses broad and constantly expanded knowledge of mathematical and formal methods with their strengths and weaknesses.
• Possesses broad and constantly expanded knowledge methods of data preparation, exploratory data analysis, data visualizations and statistical analysis.
• Ability to implement and configure machine learning / semantic models close to the state of research.
• Ability to design and implement automated pipelines for model creation and quality assurance.
• Knowledge of the conception and implementation of infrastructure to integrate software and AI into software products in a scalable way.
• Knowledge of applicable rules from the areas of data, AI and IT security compliance.
• Ability to document and communicate the procedures and results in target group-adequate form.

Knowledge and Skills

• Develops highly complex components and systems visionary and is responsible for them.
• Masters and implements solution and implementation alternatives (technologies and programming languages).
• Is responsible for overarching software architecture and design.
• Abstracts technical relationships.
• Creates complex, technical documentation.
• Designs and develops reliable and scalable enterprise architectures.
• Advises customers and acquires projects.
• Manages medium and large development teams.
• Presents the designed and developed software solutions at customer and expert level.

Responsibility and Scope for decision-making

• Independent consulting of the customer to identify new areas of application of AI.
• Independent consulting of the customer on the use of AI, on capturing the requirement and translating the requirement into suitable mathematical models.
• Independent data preparation, exploratory data analysis and statistical analysis, conception of labeling processes.
• Independent selection, implementation and configuration of suitable (machine learning / semantic) models and procedures, also on the basis of scientific literature.
• Conception and implementation of automated pipelines for model creation and quality assurance.
• To integrate the design and implementation of infrastructure and software and AI into software products in a scalable manner.
• Independent assurance of compliance with the relevant rules from the areas of data, AI and IT security.
• Networking and sharing of knowledge and experience within the company, within the Group and beyond.

Technical

• SQL/noSQL
• Python or R
• Spark
• Apache libraries
• Machine Learning algorithms
• Cloud Computing
• Data Architectures