Data Scientist f/m/d

AVL is one of the world's leading mobility technology companies for development, simulation and testing in the automotive industry, and beyond. The company provides concepts, solutions and methodologies in fields like vehicle development and integration, e-mobility, automated and connected mobility (ADAS/AD), and software for a greener, safer, better world of mobility.

The Engineering IT & Data Solutions department combines digitalisation, engineering and enablement. As the central internal service provider for AVL's strategic Powertrain Engineering business unit, the department supports engineering departments with modern IT solutions for engineering, data and analytics platforms as well as a consistent, customer-compatible tool and methodology landscape. The mission is to provide efficient, scalable, future-proof development environments that measurably enhance engineers' daily work.

As a data scientist, you will work directly with internal engineering teams within Powertrain Engineering to help shape the effective use of digital tools, data and new methods (e.g. analytics, automation and AI) in engineering. The department sees itself as a partner and enabler for skill teams, focusing on added value, standardisation and sustainability rather than project-specific solutions.

What makes this role so exciting? Your contribution will have an impact that extends beyond individual projects, shaping the way engineering works, develops and remains efficient at AVL Powertrain Engineering in the long term.

Your responsibilities:

• Analysis of large amounts of data and derivation of relevant insights
• Development and implementation of ML and statistical algorithms
• Application of modern data science methods for process and efficiency optimization
• Building models for structured and unstructured data
• Creating visualizations and dashboards for data-driven decisions
• Collaborating with engineering and specialist departments to identify potential
• Ensuring data quality and best practice standards
• Providing technical support in pre-sales phases and customer projects

• Completed education (University, University of Technology, University of Applied Sciences) with a focus on mathematics, statistics, computer science or related fields
• At least 3-5 years of professional experience in data science, industrial ML use cases or related areas
• Confident use of Python/R/Scala and ML frameworks (e.g. TensorFlow, Spark)
• Knowledge of statistical modeling and data analysis
• Experience in building machine learning models
• Analytical and conceptual thinking, as well as the ability to communicate technical insights to different stakeholders in an understandable way
• Strong problem-solving skills and high quality awareness
• Strong communication and teamwork skills, as well as strong organizational skills
• Very good English skills, German skills are an advantage or at least a willingness to learn German
• Willingness to travel up to 10 percent of the time (mainly Croatia)

• Various working time models, flextime and the possibility of working from home
• Employee discounts for various offers and services
• Company sports club with more than 30 sections and regular sports events/trips
• 80% subsidy for public transportation costs or access to a personal parking space
• Attractive bike leasing program

Annual Remuneration: Due to the Austrian Equal Treatment Act we are obligated to state the annual gross remuneration (full-time) for this position as a basis for negotiation: €61,000.00. The Employee will be classified according to the Collective Agreement for Employees of Industry (Collective Bargaining Agreement of the Automotive Industry). We will, in any case, offer market-conforming payment taking qualifications and professional experience into account.

Interested?
If so, please use our online application tool to send your application to AVL!

At AVL, we foster and celebrate diversity: We recognize that diverse ways of thinking are required to achieve our vision of a greener, safer, and better world of mobility. Different backgrounds, attitudes, interests, and experiences make us successful. As Equal Opportunity Employer we consider all qualified applicants without regard to ethnicity, religion, gender, sexual orientation or disability status.

Salary: 61000 EUR / YEAR

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