Job Description:

About the Role:

This role focuses on improving data reliability, guiding calibration and correction methodologies, evaluating performance metrics, and supporting a small technical team working on air quality data systems.

The position is suited for someone who enjoys solving real-world environmental data challenges and wants to grow into long-term technical leadership within a structured and applied industry setting.

Key Responsibility Areas (KRAs):
Air Quality Data & Sensor Performance
Analyze air quality sensor datasets and evaluate air quality sensor performance in various climates
Support calibration, correction, and validation methodologies
Investigate data inconsistencies and recommend structured improvements
Contribute to performance benchmarking and validation studies

Technical Supervision & Process Discipline
Guide and mentor junior team members in data analysis workflows
Review analytical outputs and ensure documentation quality
Support structured monitoring of deployed sensor systems

Cross-Functional Collaboration




Work closely with hardware, firmware, software, and product teams
Translate analytical findings into practical improvements
Contribute to the continuous enhancement of air quality monitoring systems

Required Skills & Qualifications
Master’s degree (or PhD) in Environmental Engineering, Atmospheric Science, or related fields
3–5 years of relevant experience preferred
Solid proficiency in computing language for data analysis
Experience working with time-series or real-world sensor datasets
Solid understanding of statistics and performance evaluation
Structured problem-solving mindset

Nice to have
Exposure to air quality monitoring systems (PM, NO2, O3, CO, etc.)
Experience with calibration studies or collocation analysis
Familiarity with IoT-based environmental monitoring platforms
Prior experience mentoring interns or junior analysts

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