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Environmental Data Scientist
2 weeks ago
Greetings from Synergy Resource Solutions, a leading Recruitment Consultancy.
Our client is a Smart Air Quality Monitoring Solutions company offering data-driven environmental solutions for better decision making. Using our sensor-based hardware, we monitor various environmental parameters related to air quality, noise, odour, weather, radiation etc.
Designation: - Environmental Data Scientist (Ahmedabad)
Location: - Ahmedabad
Experience: years
Work timings: 10:00 am to 6:30 pm (5 days working)
Job Description:
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
Required Skills & Qualifications
Bachelors or Masters 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.
Benefits:
- Competitive salary and benefits package
- Opportunities for professional growth and development
- A dynamic and collaborative work environment
If your profile is matching with the requirement & if you are interested for this job, please share your updated resume with details of your present salary, expected salary & notice period.
