Position : Environmental Data Scientist
Salary: upto 50000 pm
Location: Ahmedabad [Only preferring candidates from Gujarat]
Experience: 2+ Years
we are seeking a research-driven Environmental Data Scientist to lead the
development of advanced algorithms that enhance the accuracy, reliability, and
performance of air quality sensor data. This role goes beyond traditional data science
it focuses on solving real-world challenges in environmental sensing, such as
sensor drift, cross-interference, and data anomalies.
Key Responsibilities:
- Design and implement algorithms to improve the accuracy, stability, and interpretability of air quality sensor data (e.g., calibration, anomaly detection, cross-interference mitigation, and signal correction)
- Conduct in-depth research on sensor behavior and environmental impact to
- inform algorithm development
- Collaborate with software and embedded systems teams to integrate these
- algorithms into cloud or edge-based systems
- Analyze large, complex environmental datasets using Python, R, or similar
- tools
- Continuously validate algorithm performance using lab and field data; iterate
- for improvement
- Develop tools and dashboards to visualize sensor behavior and algorithm
- impact
- Assist in environmental research projects with statistical analysis and data
- interpretation
- Document algorithm design, testing procedures, and research findings for
- internal use and knowledge sharing
- Support team members with data-driven insights and code-level
- contributions as needed
- Assist other team members with writing efficient code and overcoming
- programming challenges
Education/Experience
Required Skills & Qualifications
- Bachelor's or Master's degree in one of the following fields: Environmental Engineering / Science, Chemical Engineering, Electronics / Instrumentation Engineering, Computer Science / Data Science, Physics / Atmospheric Science (with data or sensing background)
- 1-2 years of hands-on experience working with sensor data or IoT-based environmental monitoring systems
- Strong knowledge of algorithm development, signal processing, and statistical
- analysis
- Proficiency in Python (pandas, NumPy, scikit-learn, etc.) or R, with experience
- handling real-world sensor datasets
- Ability to design and deploy models in a cloud or embedded environment.
- Excellent problem-solving and communication skills.
- Passion for environmental sustainability and clean-tech.
Preferred Qualifications:
- Familiarity with time-series anomaly detection, sensor fusion, signal noise reduction techniques or geospatial data processing.
- Exposure to air quality sensor technologies, environmental sensor datasets, or dispersion modeling.
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