Senior Data Scientist

Algorized; Campbell (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

A VC-funded deep-tech company in Campbell, CA, is seeking a passionate Senior Data Scientist to design and implement innovative machine learning solutions. The role requires deep expertise in processing sensor data and developing scalable models for real-time applications. Candidates should possess a PhD in a relevant field and have over 5 years of experience in algorithm design and optimization. Join a dynamic startup atmosphere dedicated to cutting-edge technology and innovation.

Qualifications

• PhD in Data Science, Mathematics, Computer Science, or related field.
• 5+ years of hands-on experience in a similar position.
• Expertise in sensor fusion, edge AI, or embedded ML models.

Responsibilities

• Design, implement, and optimize machine learning models.
• Manage the ML data pipeline for processing raw sensor data.
• Analyze extensive datasets to identify trends and patterns.

Skills

Machine learning model design

Data pipeline management

Data analysis

Sensor fusion

Python coding

C/C++ deployment

Education

PhD in Data Science or related field

Tools

PyTorch

scikit-learn

Job description

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