Environmental Data Scientist

Zigsaw is hiring an Environmental Data Scientist in Dombivli, Maharashtra, India. The role involves developing algorithms to enhance air quality sensor data accuracy and addressing environmental challenges. Candidates should have 2+ years of experience and a relevant degree. Key responsibilities include algorithm design, data analysis, and collaboration with teams. The position offers a salary of up to ₹50,000 per month and is a full-time role.
Location: Dombivli
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, Num Py, 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.

For Quick Response, please fill out this fo rm