Environmental Data Scientist

Zigsaw; Ahmedabad; On-site; INR 334,800 - 558,000; Full time

Job summary

A leading company in environmental technology is hiring an Environmental Data Scientist in Ahmedabad. This role focuses on developing algorithms that enhance the performance of air quality sensor data to tackle real-world environmental challenges. Candidates should demonstrate a solid foundation in data science and a passion for sustainability.

Qualifications

• 1-2 years of hands-on experience with sensor data or IoT.
• Proficient in Python (pandas, NumPy, scikit-learn).
• Ability to design and deploy models in cloud/embedded environments.

Responsibilities

• Design algorithms to improve accuracy of air quality data.
• Collaborate with teams to integrate algorithms into systems.
• Analyze environmental datasets using Python or similar tools.

Skills

Algorithm Development

Signal Processing

Statistical Analysis

Problem-Solving

Communication

Passion for Environmental Sustainability

Education

Bachelor’s or Master’s degree in Environmental Engineering / Science

Bachelor’s or Master’s degree in Chemical Engineering

Bachelor’s or Master’s degree in Electronics / Instrumentation Engineering

Bachelor’s or Master’s degree in Computer Science / Data Science

Bachelor’s or Master’s degree in Physics / Atmospheric Science

Tools

Python

R

Job description

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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
• 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

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
• 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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Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Information Services

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