
Research Team Member
2 days ago
Location: Kerala and Tamilnadu
We are seeking a highly motivated and skilled R&D team to join our GHG Accounting and Carbon reduction projects related company. As a member of the R&D team, you will be responsible for developing innovative solutions and technologies related to GHG accounting and carbon reduction, and for conducting research to support the company’s mission and goals.
In this role, you will work closely with other members of the R&D team, as well as project managers, clients, and external partners. You will be responsible for designing and executing research projects, analyzing data, and communicating findings to stakeholders. You will also be responsible for developing and testing new technologies and solutions related to GHG accounting and carbon reduction.
Qualifications:
PhD or Master’s degree in Environmental Science, Engineering, or a related field.
3+ years of experience in research and development, preferably in the GHG accounting and carbon reduction projects industry.
Strong knowledge of GHG accounting and carbon reduction projects, including regulatory frameworks, methodologies, and standards.
Experience in designing and executing research projects, analyzing data, and communicating findings to stakeholders.
Experience in developing and testing new technologies and solutions related to GHG accounting and carbon reduction.
Excellent communication and interpersonal skills, with the ability to work effectively with project managers, clients, internal teams, and external partners.
Strong organizational skills, with the ability to manage multiple tasks simultaneously and prioritize tasks effectively.
Strong problem-solving skills, with the ability to identify and address project risks and issues.
Familiarity with project management methodologies, such as Agile or Waterfall.
High level of integrity and ethical standards, with a commitment to sustainability and environmental responsibility.
Experience in programming languages, such as Python or R, and software tools for data analysis and modeling.
**Job Type**: Regular / Permanent
Schedule:
- Day shift
Work Location: Remote
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