YQ App GmbH
1080 Wien,Josefstadt - Österreich
Data Scientist
Arbeit
Vollzeit
ab 23.04.2026
Beschreibung
As a Machine Learning Engineer, you will develop the "nervous system" for new customer experiences -
personalized services and intuitive shopping journeys powered by our firmware.
Your Responsibilities:
- Develop, train, and deploy ML models for sensor data, consumer behavior, and forecasting.
- Integrate sensor data from hardware into our SaaS platform.
- Help design data pipelines using Go, SQL, and Python.
- Test and optimize sensor communication (Bluetooth, Wi-Fi, etc.).
- Optimize m... weiter lesen
personalized services and intuitive shopping journeys powered by our firmware.
Your Responsibilities:
- Develop, train, and deploy ML models for sensor data, consumer behavior, and forecasting.
- Integrate sensor data from hardware into our SaaS platform.
- Help design data pipelines using Go, SQL, and Python.
- Test and optimize sensor communication (Bluetooth, Wi-Fi, etc.).
- Optimize m... weiter lesen
As a Machine Learning Engineer, you will develop the "nervous system" for new customer experiences -
personalized services and intuitive shopping journeys powered by our firmware.
Your Responsibilities:
- Develop, train, and deploy ML models for sensor data, consumer behavior, and forecasting.
- Integrate sensor data from hardware into our SaaS platform.
- Help design data pipelines using Go, SQL, and Python.
- Test and optimize sensor communication (Bluetooth, Wi-Fi, etc.).
- Optimize models for performance, scalability, and real-time use.
- Integrate predictive services into existing systems.
- Prepare data, create features, and label datasets.
- Manage model versioning, monitoring, and evaluation.
- Stay up-to-date with the latest ML techniques.
What You Should Bring:
- Bachelor's or Master's degree in Computer Science, Data Science, Electrical Engineering, ML, or similar.
- Strong Python skills, experience with Go and SQL.
- Solid understanding of ML algorithms, time series, and predictive analytics.
- Experience independently managing ML projects end-to-end.
- Familiarity with experiment tracking tools (e.g., MLflow) and reproducible research.
- Ability to clearly present complex results.
- Good English skills.
Nice-to-Have:
- Experience with large SQL databases.
- Knowledge of IoT, embedded development, and edge computing.
- Hands-on experience with Bluetooth, Wi-Fi, and sensor integration.
- Understanding of electromagnetic waves in retail environments.
- Experience with real-time ML in production.
- Experience with geospatial data and sensor fusion for precise location tracking.
Your Skills:
- Initiative and ability to lead projects independently.
- Experience across the full ML lifecycle from data to deployment.
- Analytical mindset with passion for exploring complex data.
- Creative problem-solving for retail challenges.
- Team player working well across hardware, software, and QA.
- Flexible and eager to learn in a fast startup environment.
What We Look for at YQ App:
We don't just hire engineers; we seek passionate problem-solvers. If you love tackling tough
technical challenges and building meaningful solutions with a team, you'll fit right in!
What We Offer:
- Up to 30 days "Work from Anywhere" per year plus 27 days vacation.
- Flexible opportunities for professional development.
- Free public transport pass and a centrally located office.
- Unlimited coffee.
- Attractive salary starting at €60,000 plus bonus and growth potential.
- Stock options to share in our success.
- A diverse and inclusive team.
Before You Apply:
We are a dynamic startup rethinking retail with IoT and data. It takes commitment but offers great
opportunities for your career and innovation. If you're motivated to contribute, we look forward to
your application!
How to Apply:
Send your resume, cover letter, and portfolio (GitHub/GitLab) to - careers@yqapp.net
with the subject "Machine Learning."
We look forward to hearing from you!
personalized services and intuitive shopping journeys powered by our firmware.
Your Responsibilities:
- Develop, train, and deploy ML models for sensor data, consumer behavior, and forecasting.
- Integrate sensor data from hardware into our SaaS platform.
- Help design data pipelines using Go, SQL, and Python.
- Test and optimize sensor communication (Bluetooth, Wi-Fi, etc.).
- Optimize models for performance, scalability, and real-time use.
- Integrate predictive services into existing systems.
- Prepare data, create features, and label datasets.
- Manage model versioning, monitoring, and evaluation.
- Stay up-to-date with the latest ML techniques.
What You Should Bring:
- Bachelor's or Master's degree in Computer Science, Data Science, Electrical Engineering, ML, or similar.
- Strong Python skills, experience with Go and SQL.
- Solid understanding of ML algorithms, time series, and predictive analytics.
- Experience independently managing ML projects end-to-end.
- Familiarity with experiment tracking tools (e.g., MLflow) and reproducible research.
- Ability to clearly present complex results.
- Good English skills.
Nice-to-Have:
- Experience with large SQL databases.
- Knowledge of IoT, embedded development, and edge computing.
- Hands-on experience with Bluetooth, Wi-Fi, and sensor integration.
- Understanding of electromagnetic waves in retail environments.
- Experience with real-time ML in production.
- Experience with geospatial data and sensor fusion for precise location tracking.
Your Skills:
- Initiative and ability to lead projects independently.
- Experience across the full ML lifecycle from data to deployment.
- Analytical mindset with passion for exploring complex data.
- Creative problem-solving for retail challenges.
- Team player working well across hardware, software, and QA.
- Flexible and eager to learn in a fast startup environment.
What We Look for at YQ App:
We don't just hire engineers; we seek passionate problem-solvers. If you love tackling tough
technical challenges and building meaningful solutions with a team, you'll fit right in!
What We Offer:
- Up to 30 days "Work from Anywhere" per year plus 27 days vacation.
- Flexible opportunities for professional development.
- Free public transport pass and a centrally located office.
- Unlimited coffee.
- Attractive salary starting at €60,000 plus bonus and growth potential.
- Stock options to share in our success.
- A diverse and inclusive team.
Before You Apply:
We are a dynamic startup rethinking retail with IoT and data. It takes commitment but offers great
opportunities for your career and innovation. If you're motivated to contribute, we look forward to
your application!
How to Apply:
Send your resume, cover letter, and portfolio (GitHub/GitLab) to - careers@yqapp.net
with the subject "Machine Learning."
We look forward to hearing from you!
Ref-Nr.: 8882420
Aktualisiert:
23.04.2026
Quelle: Bundesagentur für Arbeit
weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
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