Data Scientist, Sensors

About the Role

Lyten is seeking a Data Scientist to join our Sensor team, focusing on sensor behavior understanding, calibration modeling, and methane detection pipelines. This role involves extracting reliable signals from noisy sensor and atmospheric data, with a path from prototype to production deployment.

Key Responsibilities

• Contribute to data processing and modeling pipelines for sensor calibration and methane detection, from prototype through production.
• Apply statistical methods, including Bayesian inference, to quantify uncertainty, detection confidence, and limits of detection.
• Analyze and model raw sensor and atmospheric data to build calibration, correction, and detection models, distinguishing true signal from environmental variability and instrument artifacts.
• Collaborate with hardware scientists and engineers to diagnose sensor behavior and improve performance.
• Contribute to analytical standards, validation frameworks, and performance evaluation methodologies.

Requirements & Tech Stack

• Proficiency in Python and SQL, with experience in data science libraries and production-oriented workflows (e.g., cloud platforms and workflow orchestration tools).
• Ability to collaborate across hardware, data science, and product teams.
• Strong communication skills and ability to operate within a technically guided team environment.

Qualifications

• Doctorate degree in sensor analytics, atmospheric science, or applied data science.
• OR Master's degree in sensor analytics, atmospheric science, or applied data science AND 1+ years of experience.
• OR Bachelor's degree in sensor analytics, atmospheric science, or applied data science AND 3+ years of experience.
• Strong foundation in statistical modeling, including Bayesian methods and uncertainty quantification.
• Experience working with time-series sensor data in real-world conditions, including noise, drift, and missing data.
• Hands-on experience with sensor calibration and validation (raw outputs, calibration models, correction techniques).
• Ability to interpret sensor data through underlying physical and chemical principles, connecting observed patterns to sensor behavior, atmospheric processes, and measurement limitations, and to move beyond descriptive analytics toward mechanistic understanding and hypotheses.
• Advanced degree (MS/PhD) in atmospheric science, environmental sensing, or a relevant field, or equivalent experience, preferred.

Physical & Mental Requirements

• Must be able to sit, stand, and use a computer for extended periods of time.
• Must be able to communicate effectively.
• Must be able to lift up to 30 lbs.
• No physical limitations to wear personal protective equipment (PPE), including respirators when required.
• Must collaborate and work well with other team members.
• Must be able to occasionally work in a dry room setting.