Data Scientist - Mobility Cloud Solutions

4w4 weeks ago

Bosch Group

Cluj-Napoca, RO · Full-time · €18,000 – €28,000

About this role

Bosch Engineering Center Cluj is seeking a Data Scientist to transform data into actionable insights that accelerate digitalization across the business. You will design, build, and operate scalable data and AI solutions within the mobility sector, contributing to products ranging from intelligent reporting to AI-powered applications.

In this role, you will design and implement statistical, machine learning, and AI models to solve real business and engineering problems. You will build data-driven products across mobility-related domains including cloud services, business process optimization, manufacturing analytics, and telemetry use cases.

You will ingest, process, and analyze diverse data sources such as relational databases, logs, sensor streams, and image data. Working within a multicultural, distributed team, you will take ownership across the full lifecycle of data solutions—from discovery and prototyping through deployment, monitoring, and continuous improvement.

Bosch offers diverse professional and personal development opportunities, flexible working conditions, and modern offices and laboratories. You will collaborate with a global network of experts on impactful products, contributing to the adoption of leading-edge technologies and AI-powered applications in automated driving, electric, and connected mobility.

Requirements

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 (e.g., 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

Responsibilities

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
Contribute to the adoption of leading-edge technologies and AI-powered applications