We are now looking for an experienced Data Scientist for our client (Volvo Cars)!
About the ideal candidate:
- You have a comprehensive understanding of Data analytics tools, ML algorithms and model development.
- You have several years of experience as a Data Scientist.
- You're a good trouble-shooters, capable of identifying and resolving issues during operation while simultaneously proposing enhancements to existing processes.
- You are comfortable driving changes and implementing structure in a dynamic and ambiguous setting.
- Good communication and presentation skills is key, as you will work with different stakeholders (business and technical), which also demands good collaboration skills.
You also have
- Understanding of customer/test engineers obstacles to create solutions based on advanced analytics and draw implications for model development.
- Ability to combine, explore and draw insights from data.
- Solid understanding of machine-learning techniques and statistical tools.
- Solid programming skills using Python and SQL to integrate and process data efficiently.
- Experience with popular machine learning packages (Scikit-learn, Tensorflow or PyTorch) combined with actual model deployment experience.
- Experience in Data analytics tools like Power BI, Tableau.
- Understanding of a cloud architecture, e.g. AWS, Azure, or Google Cloud platform.
- Experience with version handling tools, e.g. Git and infrastructure tools like Docker.
- Master of Science in Data Science or other relevant area
- At least 5 years of experience in the relevant subject areas
- Experience in car product development is meritorious.
Required skills:
- SQL
- Power BI
- Tableau
- Python
- Google Cloud Platform
- Automotive electrification
- Statistical tools
- AWS
- Data analytics
- Scikit-learn,
- Tensorflow or PyTorch
- Cloud Architecture
- Azure
- Customer experience
- Model deployment
- Machine learning
- ML model development
- Infrastructure
- Git
- Docker
- Car product development
Language:
English (proficient)
Please note! We offer continuously. That means that we sometimes remove the assignments before deadline. If you are interested we recommend that you apply immediately.