Data Scientist (Python, Problem Solving , Machine Learning)

Daimler AG; Subang Jaya; Hybrid; MYR 90,000 - 120,000; Full time

Job summary

A leading automotive and technology company in Subang Jaya is looking for an experienced AI Consultant. You will advise customers on AI applications, manage data analysis projects, and ensure compliance with data and IT security standards. Candidates must have a Bachelor's degree in a relevant field and at least 5 years of experience. Skills in SQL, Python or R, and Machine Learning are essential.

Qualifications

• Minimum of 5 years’ working experience in a related field.
• Experience with Agile methodologies.
• Experience with Enterprise technologies.
• Experience with Product Oriented Teams.
• Programming or Data Architecture related certification.

Responsibilities

• Advising the customer on AI usage and requirements.
• Data preparation, exploratory data analysis, and statistical analysis.
• Conception of labelling processes.
• Implementation of ML models and automated pipelines.
• Ensuring compliance with data and IT security rules.

Skills

Excellent communication skills

Good customer service orientation

Analytical thinking

Result-oriented thinking

Broad understanding of AI methods

Knowledge of data preparation methods

Ability to implement machine learning models

Knowledge of statistical analysis

Ability to design automated pipelines

Knowledge of IT security compliance

Education

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

Tools

SQL/noSQL

Python or R

Spark

Machine Learning algorithms

Cloud Computing

Data Architectures

Job description

Overview

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.

Responsibilities

• 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

Decision-making responsibility

• 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

Qualifications

Qualifications / Experience:

• 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

Technical

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