Environmental Data Scientist

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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