Data Science (all genders)

We are looking for forward-thinking, impact-driven developers who want to shape the future of IoT, AI, and cloud-based solutions in an agile environment. At smaXtec, we develop a unique health management system for dairy cows, using smart algorithms and AI applications to revolutionize herd health and sustainability.

Data Scientist

(GRAZ FULL TIME ALL GENDERS)

• Explore and analyze complex IoT sensor data to uncover meaningful signals and patterns
• Develop and refine features from raw time-series data using analytical and signal processing techniques
• Design and run experiments to validate ideas and assess their potential impact
• Translate ambiguous problems into data-driven hypotheses and iterate quickly on solutions
• Collaborate with domain experts to explore data-driven ideas and validate their potential impact

• Strong curiosity for complex data and underlying patterns, with an interest in time-series data and IoT sensor data
• Solid foundation in statistics, mathematics and computer science
• Hands-on experience in data analysis, feature engineering, and rapid prototyping
• Solid SQL and Python skills (e.g., Pandas, NumPy) and the ability to apply basic machine learning methods (e.g., classification, regression) where useful
• Comfortable working in fast iteration cycles and cross-functional teams

• High-impact work in an agile, international scale-up environment, collaborating closely with a small and dynamic team to drive innovation and sustainable growth.
• Flexible working model - a modern office at TU Graz Inffeld Campus combined with up to 25% remote work.
• Attractive benefits: Public transport subsidy, Edenred vouchers, "Firmenradl" bike leasing, company fitness cards, and team events

Salary

Transparent salary model (gross annual, full-time):

• Junior: from EUR 42.000
• Advanced: from EUR 52.000
• Senior: from EUR 60.000

Ready for your next step? Apply now and become part of our team - we can't wait to meet you!

About this job

Unfilled vacancies: 1 vacancy unfilled for this position

About the company

Locations: Graz

Details about this job

• Monday to Friday
• 38,5 hours
• 25% Homeoffice

• Graz

• SQL
• Python
• basic machine learning methods

• Flexible working hours
• Home office
• Good transportation connections
• Fitness programs
• Team events
• Employee discounts

All infos regarding your application

Required application documents:

• Résumé