Data Scientist

at  MannHummel

Data Scientist
Singapur, Filters | Andere | Berufserfahrene | Unbefristet | July 24, 2024
As worldwide experts in filtration, MANN+HUMMEL develop solutions for vehicles, industrial applications, clean air inside vehicles and the sustainable use of water. With team spirit and an open culture of communication, we are continuously working towards achieving our vision of ‘leadership in filtration’. Become part of our team.
Job Description
Role Summary
The data scientist understands how data can be used to create business value, identifies opportunities to do so and drives or implements data science projects to implement them.

Main Tasks

• Working cross-functionally with business managers/product managers/engineers and designers to gather requirements and to understand their business processes
• Applying machine learning techniques, in core subject areas including: filter life time predictions, air quality management and recommendations and intelligent industrial filtration.
• Designing experiments and back-test algorithms using historical data
• Making strategic data architecture recommendations
• Implementing data science experimental framework to enable organization-wide experiments
• Design, develop, test and deploy analysis, hypothesis, and machine learning models that solves business challenges and uncovers insights to enhance business performances
• Design, implement, and manage data analytics pipelines from end-to-end
• Collect, cleanse and transform data from multiple data sources for report generation and visualization for business units and technical audiences
• Develop machine learning classifiers, algorithms and processes
• Data mining of data sets of various types and formats

Your Profile

• Masters Degree/PHD in Computer Science or a related technical field with the ability to manage stakeholders and communicate well.
• Strong experience in Machine Learning with at least 5 years of Python or R development experience and good experience in SQL. Experience in Hadoop & Spark is advantageous.
• Proficient in programming languages such as Python or Java is required
• Extensive data analytic experience in Pandas, NumPy, scikit-learn, Jupyter, R, etc.
• Demonstrated experience applying and showing an understanding of machine learning algorithms for classification, regression, clustering, etc.
• Developed and deployed applications running on public cloud systems, such as AWS or equivalent
• Experience working in Hadoop ecosystem and Spark is a plus
• Experience with common data science tools such as R, python, scipy, sagemaker, AWS, Dynamodb, Tableau
• Experience with machine learning tools

Are you full of ideas? Are you keen to take on responsibility and really achieve something? Then our doors are open to you. This company lives out its values, gives people the freedom to use their own initiative, and offers many development exciting opportunities and many exciting projects – all of which awaits you here

• Working cross-functionally with business managers/product managers/engineers and designers to gather requirements and to understand their business processes
• Applying machine learning techniques, in core subject areas including: filter life time predictions, air quality management and recommendations and intelligent industrial filtration.
• Designing experiments and back-test algorithms using historical data
• Making strategic data architecture recommendations
• Implementing data science experimental framework to enable organization-wide experiments
• Design, develop, test and deploy analysis, hypothesis, and machine learning models that solves business challenges and uncovers insights to enhance business performances
• Design, implement, and manage data analytics pipelines from end-to-end
• Collect, cleanse and transform data from multiple data sources for report generation and visualization for business units and technical audiences
• Develop machine learning classifiers, algorithms and processes
• Data mining of data sets of various types and format