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Senior Data Scientist

Algorized is a VC-funded Silicon Valley deep-tech company with Swiss roots building edge-AI models that give robots real-time human awareness using existing wireless sensors - enabling safer human-machine co-presence. 

 

As we continue to scale rapidly, we are looking for a Senior Data Scientist who is genuine passionate about innovation, product development and building robust systems end-to-end. If you thrive in dynamic startup environment, take ownership, and know to seamlessly connect backend, frontend, and embedded systems, we’d love to meet you. 

 

Role Overview

 

This is a hands-on senior role with significant ownership. You will actively design, implement, and optimize people-sensing models on edge. 

LOCATION

On-site/Campbell, CA

EMPLOYMENT TYPE

Full Time

Responsibilities

  • Design, improve and implement complex machine learning models and algorithms processing raw radar sensor data and other sensor data to address customer business needs

 

  • Manage the ML data pipeline, including data collection, extraction, validation, and preprocessing

 

  • Format, restructure, or validate datasets to ensure high data quality, and readiness for analysis

 

  • Develop robust data preprocessing methods to enhance model accuracy and efficiency

 

  • Analyze extensive datasets to identify trends and patterns and interpret them

 

  • Build the foundation for highly scalable data collection and analytics

 

  • Design scalable ML pipelines to support sensor-agnostic people-sensing model training, testing, deployment, and monitoring

 

  • Implement monitoring tools to track model accuracy, performance, and scaling issues

Qualifications

  • PhD in Data Science, Mathematics. Computer Science or related field

 

  • Experienced in algorithm design and optimization

 

  • 5+ years hands-on experience in a similar position (3+ for candidates with PhD)

 

  • Expertise in sensor fusion, edge AI, or embedded ML models for real-time applications

 

  • Experience deploying ML models in C/C++

 

  • Good coding skills in Python, familiarity with PyTorch, scikit-learn and other Python ML libraries

 

  • Experience with time-series data, sensor data pipelines, or stream processing frameworks

 

  • Good understanding of ML model deployment, CI/CD and monitoring frameworks

 

  • Excellent teamwork & communication skills, with a passion for innovation and solving complex challenges

 

  • Genuine interest in solving challenging people-sensing problems from start to finish

 

  • Willingness to travel domestically and internationally for development and on-site customer support

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