Senior ML Data Scientist - Edge AI for Real-Time Sensing

Algorized; Etoy; On-site; CHF 120,000 - 180,000; Full time

Job summary

Algorized is seeking a Senior Data Scientist for an on-site role in Etoy, Switzerland. You will design and deploy ML models for wireless people sensing using radar and other sensor signals, collaborating with software engineers and MLOps to build robust products.

You will develop foundational models, evaluate time-series methods, and mentor junior teammates while advancing data-science practices across the company. A PhD and 3+ years of hands-on ML experience are required.

Qualifications

• PhD in Data Science, Computer Science, Wireless Communication, Electrical Engineering, Applied Mathematics, Physics, or a related quantitative field.
• At least 3 years hands-on experience developing machine-learning or data-science solutions for real-world applications.
• Strong knowledge of data science and ML with experience applying statistical and learning-based methods to sensor or time-series data.
• Strong understanding of signal-processing principles and practical experience with spectral analysis, filtering, estimation, detection, tracking or sensor fusion.
• Strong Python skills with practical experience using PyTorch, scikit-learn, NumPy, and SciPy.
• Ability to own open-ended technical problems and move from exploration to validated solutions.
• Excellent collaboration and communication skills, with enthusiasm for solving challenging people-sensing problems.

Responsibilities

• Design, develop, and improve ML models and algorithms for wireless people sensing using radar and other sensor signals.
• Develop foundational models to support multiple people-sensing tasks, environments, and sensor configurations.
• Create signal-processing, ML, and deep-learning methods to transform wireless sensor signals into robust outputs.
• Design model architectures and learning approaches that capture spatial and temporal patterns in sensor data.
• Plan experiments, define evaluation methods, and analyze model behavior and generalization.
• Evaluate advances in time-series and representation learning to improve robustness across environments.
• Collaborate with software engineers and MLOps on infrastructure development.
• Mentor junior team members and contribute to data-science practices.

Skills

Python

PyTorch

scikit-learn

NumPy

SciPy

Signal processing

Time-series

Ownership

Collaboration & communication

Education

PhD in Data Science/CS/Wireless Communications/EE/Applied Math/Physics

Tools

PyTorch

scikit-learn

NumPy

SciPy

Job description

Algorized is seeking a Senior Data Scientist for an on-site role in Etoy, Switzerland. You will design and deploy ML models for wireless people sensing using radar and other sensor signals, collaborating with software engineers and MLOps to build robust products.

You will develop foundational models, evaluate time-series methods, and mentor junior teammates while advancing data-science practices across the company. A PhD and 3+ years of hands-on ML experience are required.