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Lyten

Develops 3D graphene-based energy solutions

Data Scientist - Sensors

Data ScienceConfirmed live in the last 24 hours
Full-timeSan Jose, CA, USAIn-person

About the Job

Requirements

  • A doctorate degree in sensor analytics, atmospheric science, or applied data science; or a master's degree in one of those fields and at least one year of experience; or a bachelor's degree in one of those fields and at least three years of experience.
  • A 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, including raw outputs, calibration models, and 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.
  • Proficiency in Python and SQL, with experience in data science libraries and production-oriented workflows such as cloud platforms and workflow orchestration tools.
  • Ability to collaborate across hardware, data science, and product teams.
  • Ability to sit, stand, and use a computer for extended periods; communicate effectively; lift up to 30 pounds; wear personal protective equipment, including respirators when required; collaborate with team members; and occasionally work in a dry room setting.
  • Employment is conditioned on the continued availability of government authorization required to access export-controlled technology, software, and information.

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.

Desired Qualifications

  • An advanced degree (MS/PhD) in atmospheric science, environmental sensing, or a relevant field, or equivalent experience.

About the Company

Lyten

Develops 3D graphene-based energy solutions

Lyten develops and applies 3D graphene materials to help heavy-emitting industries reduce their carbon emissions. It builds applications on a materials platform centered on 3D graphene and is advancing Lithium-Sulfur batteries to improve EV efficiency and affordability. It differentiates itself by partnering with Fortune 500 customers and building a scalable platform rather than relying on a single product, with support from strategic investors like FedEx, Stellantis, and Honeywell. Its goal is to help large emitters reach net-zero while preserving profitability and accelerate the global transition to clean energy through practical, scalable technology.

Company size
501-1,000
Company stage
Late Stage VC
Total funding
$1.2B
Headquarters
San Jose, CA
Founded
2015

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