Assignment description

At our clients safety centre, 200 highly skilled professionals strive every day to make the world a safer place for vehicle occupants, their loved ones, and the people around them. Covering the Safety and Durability attributes, they bravely lead the way for safety in and support of the company’s strategic direction: Freedom to move in a personal, sustainable and safe way.

The Data, Analytics and Artificial Intelligence team currently works with real world safety data understanding the accident causation mechanisms laying foundations for future safety features and functions in upcoming car development programs. They provide our knowledge to our car programmes through data analysis and knowledge needed to help drive the engineering of world leading products. The work is performed in close collaboration with our clients digital organisation that provides them the digital infrastructure for storing and analysing real world data.

They are currently looking for a data scientist with excellent software development skills. You will help them developing data science products that discover the information hidden in vast amounts of data and help them make smarter decisions to deliver even better cars and or better experience of our products. Your primary focus will be developing world class data analytics and AI products by applying scientifically established methods and techniques such as statistics, machine learning and deep learning. In addition, you may have the opportunity to be involved in developing novel methods in data science with automotive safety as a focus area.

Main responsibilities:

• Ability to map a business question into analytical context outlining the choice of methods and analytical subsets of data
• Pre-processing of structured and unstructured data including cleansing, and validating the quality and integrity of data in the analytical context
• Enhancing data collection procedures to include all relevant information for developing analytic products. Ability to fuse multiple datasets in a given context
• Implement appropriate statistical, machine learning and/or deep learning methods for appropriate business questions and relevant datasets
• Develop and deploy data science products in the cloud or on-prem infrastructure
• Communicate and collaborate with other parts of the company and ensure that best practices are used for designing and documenting solutions

Required qualifications:

• University degree in a quantitative discipline (e.g., but not limited to – Mathematics, Computer Science, Data Science, Natural Sciences, etc.) or equivalent work experience
• Ability to write high quality data science code in Python. Proven track record and knowledge of best practices and standards in coding, familiarity with Python-based data processing and analysis libraries
• Well versed with visualizing the insights in dashboards or similar solutions either off-the-shelf or Python-based frameworks
• Significant experience in developing end-to-end Data Science software solutions
• Experience with state-of-the-art data science and ML practices along with advanced knowledge of and experience with Python-based ML and DL libraries (particularly for ML) as well as version control (e.g. git and GitHub)
• Experience in developing scalable ML-based production systems in the cloud using multiple platforms such as Databricks and Azure
• Independent way of working, self-confident appearance at times on management level
• Fluent in English (written and verbal)

Meritorious competences:

• Work experience with vehicle safety data and principles
• Familiarity with ML-ops and cloud environments
• Proven experience with Kubernetes and Docker
• Knowledge of and interest in data engineering aspects and data pipelines
• Ability to code in R and/or MATLAB

Personal qualities:

• Passion for data science and analysis
• Structured way of working, and good documentation skills
• A self-driven and result oriented team player
• Willingness to learn and improve