Data Scientist for (e-)Mobility Cloud Solutions

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

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;

Bookster subscription.

You will be part of a product company . You will contribute to developing end-to-end products that are delivered to Global OEMs.

On top of these, we are offering

A monthly budget which can be used for several different services on an online benefit platform;

Annual bonus;

Lunch discounts.

Ready to work LikeABosch ?

We live by our values, have an open feedback culture and there is plenty of room for innovative ideas. All because a team is only as valuable as its members.