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: - AhmedabadExperience: - 1 - 3 yearsWork 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 challengesRequired 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.Benefits:
Competitive salary and benefits package
Opportunities for professional growth and development
A dynamic and collaborative work environment
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