Assignment description

Our client’s team is organized within the Energy Efficiency. They provide engineering and projects with technical recommendations and requirements and verify the product from a complete vehicle perspective, both physically and virtually.

Main responsibilities:

• As a Data Scientist at Contamination your role will be to develop their data analysis process at Contamination, working with larger sets of vehicle field data and to develop a strategi for this topic
• Supporting and take a leading position in develop their team – How utilize data usage in an efficient way
• Provide insights on where we need to improve and set requirements of future data needs
• Interact and network with many other teams at the company to get the job done support other teams with data analysis and deliver results and recommendation, most of your stakeholder will be in your team
• You will have interfaces with other data support team to collect necessary data e.g., real world data, customer surveys data, internal test data etc.

Required qualifications:

• Competence within Data Analysis and Data Engineering, with work experience of at least 5 years or PhD and 2-3 years’ work experience
• Documented experience of being Data Driven by supporting product development with input based on analysis of large data sets
• Working with AD/ADAS sensor data and sensor fusion
• Time-series analysis, preferably related to vehicle field data
• Programming experience using Python (Pandas, Scikit, NumPy) and databases (SQL, Elasticsearch)
• Excellent communications skills

Meritorious:

• Experience from automotive industry
• Experience of AD/ADAS functions
• Prior knowledge of Volvo processes, network