Data Scientist, Sensors

About the Role

We are looking for a Data Scientist to join our Sensor team, contributing to sensor behavior understanding and calibration modeling as well as methane detection pipeline and product capabilities. This role focuses on extracting reliable signals from noisy sensor and atmospheric data, with a path from prototype to production deployment.

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

Required 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 3+ years of experience OR Bachelor's degree in sensor analytics, atmospheric science, or applied data science AND 5+ 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
• 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

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

Pay

The expected base salary range for this position is between $155,200.00 - $232,800.00. The level of pay within the range will depend on a variety of job-related factors that may include location, relevant prior experience and/or education, or particular skills and expertise.

Benefits

• In addition to base pay this position is eligible for tier based bonus and equity
• Healthcare, dental, vision
• Corporate discounts
• Paid holidays, PTO and sick time
• 401K
• Employee relocation plan (if applicable)