Data Scientist

• 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 - <[email hidden]>
• with the subject "Machine Learning."
• We look forward to hearing from you!