Data Scientist (Python, Problem Solving , Machine Learning)

Puchong, Selangor
Permanent
Full-time

24 days ago

TasksAbout UsAt 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.Task Description:Advising the customer on the use of AI, capturing the requirement and translating the requirement into suitable mathematical modelsData preparation, exploratory data analysis and statistical analysis.Conception of labelling processesSelection, implementation and configuration of suitable (machine learning / semantic) models and proceduresConception and implementation of automated pipelines for model creation and quality assuranceConception 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 complianceDocumentation and communication of the procedures and results in a target group-adequate form.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.QualificationsQualifications / 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 methodologiesExperience with Enterprise technologiesExperience with Product Oriented TeamsProgramming or Data Architecture related certificationSpecific knowledge/ Skill:Excellent communication skillsGood customer service orientationAnalytical, passionate and drives technology and product qualityResult-oriented thinking and actionHas 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

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