About this 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, PySparkData Platforms: Databricks, Azure Data ServicesDatabases: Relational and non-relational databases (for example, Oracle, SQL Server, MongoDB)Data Processing: ETL/ELT pipelines, batch and streaming workflowsAI/ML Tooling: Model development, evaluation, deployment, and monitoring toolingCollaboration: 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 fieldStrong foundation in statistics, machine learning, data mining, and AI/ML methodologiesHands-on experience with Python and SQL in professional or academic projectsProficiency with relational and non-relational database systems (for example, Oracle, SQL Server, MongoDB)Solid understanding of data structures, algorithms, and software design principlesExperience designing and implementing ETL/ELT processesDemonstrated passion for solving complex data problems with an engineering mindsetExcellent communication skills, analytical thinking, and ability to work effectively in diverse, distributed teamsStrong initiative, attention to detail, and commitment to continuous learningNice 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 systemsKnowledge in specialized domains: time series analysis, computer vision, or image processingFamiliarity with software documentation standards, issue tracking, and version control workflowsExperience 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 hoursYour 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.