Intermediate Data Scientist for (e-)Mobility Cloud Solutions

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About the role

We are looking for a Data Scientist to join our team and help transform data into actionable insights that accelerate digitalization across the business. In this role, you will design, build, and operate scalable data and AI solutions, working with a global network of experts on impactful products, from intelligent reporting and data pipelines to AI-powered applications, computer vision, telemetry analytics, and event-detection systems. In your role you will: • Design and implement statistical, machine learning, and AI models to solve real business and engineering problems. • Build data-driven products and services across mobility-related domains, including cloud services, business process optimization, manufacturing analytics, and telemetry use cases. • Ingest, process, and analyze diverse data sources, including relational databases, logs, sensor streams, and image data. • Develop, test, and maintain reusable code libraries and production-grade data pipelines. • Apply statistical and experimental methods to support root-cause analysis and decision-making. • Take ownership across the full lifecycle of data solutions: discovery, prototyping, deployment, monitoring, and continuous improvement. • Collaborate effectively in a multicultural, distributed team environment. • Contribute to the adoption of leading-edge technologies and AI-powered applications. Technology Stack • Programming and Data: Python, SQL, PySpark • Data Platforms: Databricks, Azure Data Services • Databases: Relational and non-relational databases (for example, Oracle, SQL Server, MongoDB) • Data Processing: ETL/ELT pipelines, batch and streaming workflows • AI/ML Tooling: Model development, evaluation, deployment, and monitoring tooling • Collaboration: Git-based version control and issue tracking tools (for example, Jira) • Bachelor's degree or equivalent in a technical discipline (Computer Science, Mathematics, Physics, Engineering) or related field • Strong foundation in statistics, machine learning, data mining, and AI/ML methodologies • Hands-on experience with Python and SQL in professional or academic projects • Proficiency with relational and non-relational database systems (for example, Oracle, SQL Server, MongoDB) • Solid understanding of data structures, algorithms, and software design principles • Experience designing and implementing ETL/ELT processes • Demonstrated passion for solving complex data problems with an engineering mindset • Excellent communication skills, analytical thinking, and ability to work effectively in diverse, distributed teams • Strong initiative, attention to detail, and commitment to continuous learning Nice to Have • Experience with big data platforms and architectures (for example, Databricks, cloud or on-premise solutions) • Proven expertise in designing and operating complex, production-grade data systems • Knowledge in specialized domains: time series analysis, computer vision, or image processing • Familiarity with software documentation standards, issue tracking, and version control workflows • Experience with Large Language Models (LLMs) or Large Multimodal Models (LMMs) in production applications LikeABosch Benefits: Your work-life balance is valuable to us, so we offer you: • 25 Days of annual leave , because work-life balance is essential to us;    • Flexible working hours Your  health  and  well-being  is important to us, so we have you covered: • Medical subscription; • Accident insurance; • Sport activities and well-being initiatives. We believe in a  Life-Long Learning  approach, so you can take advantage of: • Technical and soft skills trainings; • Access to e-learning platforms; • Local and Global career development programs; • Opportunity to attend conferences; • B

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