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)

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

**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.**

Pay: ₹450,000.00 - ₹500,000.00 per year

Work Location: In person