For the R&D Team in Graz, we are looking for a Data Scientist (m/w/d).

As a key member of the data analytics team, you use your expertise to solve data related challenges in manufacturing operations and vehicle data analysis. You have a strong sense of curiosity, along with an open mindset. Challenging the status quo, you continuously strive to learn and reach for new and innovative ideas.

Your Tasks

• Lead the data projects, apply, and inspire the adoption of advanced data science and analytics across the team and projects.
• Develop strategy and applications of statistical analysis, Machine Learning, Computer vision, and AI tools to improve product development, manufacturing, predictive maintenance, and business processes.
• Support, plan, and execute the initial and wider deployment and adoption of ML and AI initiatives, PoC, and small-scale implementation.
• Conceptualize Machine Learning problems, apply appropriate theory, explore approaches, execute simulations, and implement with minimal supervision.
• Leverage internal and external expertise as required.
• Regularly interface with senior management to provide project updates.

Your Profile

• Bachelor´s or Master’s Degree in Data Analytics, Mathematics, Statistics, Computer Science, or similar education with several years of experience in industry with a focus on data analytics and/or computer vision.
• Experience with a wide variety of ML and AI techniques and algorithms
• Experience with cloud-based tools by Microsoft, AWS
• Analytic tools and languages for statistical and machine learning models such as R or Python
• Deep Learning frameworks and tools such as TensorFlow
• Hadoop framework and platform tools (Spark, Hive, Sqoop, and Pig)
• Data management using SQL
• DevOps – GIT, Docker, CI/CD
• Data visualization with tools such as Tableau, PowerBI, and/or Grafana
• Ability to learn, be self-motivated and driven to identify high value opportunities, gain information, develop understanding, and engage in implementation

Your offer

• Unique chance to apply science on automotive industry
• Possibilities for creativity and room for own ideas
• Corporate culture defined by innovation, involvement, and teamwork
• Long-term perspectives in an international company
• Attractive framework conditions for further training
• Profit participation in the company’s success
• Home office options and flexible working hours
• Employee and Family Assistance Program (childcare, health promotion, leisure and sports activities, benefits in everyday life)

The minimum annual remuneration package for this position is EUR 50.000,- with corresponding qualification. The actual salary is higher and depends on your education and specific work experience.