Environmental Data Scientist

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: - 1 - 3 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

● 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