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Data Engineer / Data Scientist
Maskin Learning,C,C++,Python,Java,AI
Systemutvecklare
Gbg
As part of the team, you will design and implement data pipelines, machine learning models, and numerical optimization algorithms to enable intelligent energy management and grid integration for electric vehicle charging. To thrive in this role, we think that not only do you have a passion for cutting-edge technology and software development, but also to take part in forming a brand-new development organization with the values, mindset, and software development culture to become the most attractive workplace in Gothenburg. Key Responsibilities: ▪ Develop and maintain data pipelines to ingest vehicle telematics data, charging station data, environmental data, etc. ▪ Perform data analysis to generate insights on vehicle usage patterns, charging behaviors, and algorithm performance. ▪ Build and deploy machine learning models to predict vehicle energy consumption, vehicle usage, charging behavior, battery degradation, etc. ▪ Ensure compliance with industry standards and regulatory requirements such as GDPR and EU’s Data Act. ▪ Stay up-to-date with the latest developments in the field of AI/ML and incorporate the latest ML technologies into products. ▪ Collaborate with different Feature Teams to help integrate data-driven models into Products. Qualifications: ▪ Bachelor or Master’s or PhD in Computer science, Electrical Engineering, Applied Math/Statistics, or a related field. ▪ At least 3+ years of experience in data engineering, machine learning, or related role ▪ Strong proficiency in programming languages such as Python, C/C++, or Java. ▪ Deep knowledge and work experience in ML architectures such as transformers, graph neural networks, and federated learning ▪ In-depth knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch). ▪ Domain Knowledge in Electric Vehicles, Battery Technology, and EV Energy Management Familiarity with data structures, algorithms, and software engineering best practices ▪ Familiarity with SQL and NoSQL databases ▪ Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

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