Data Scientist, GRESB

• We are looking for a skilled Data Scientist to join our team who loves to work with complex data sources and build robust, state-of-the-art models
• This person should embrace a start-up mentality and be excited to take on new challenges as we discover them
• Bachelor’s degree in a relevant field (e.g., Data Science or Engineering) or equivalent experience
• Proficiency in Python and R for data analysis and modeling
• Expertise in data visualization, statistical analysis, outlier detection, and related standard libraries (e.g., Pandas, NumPy, etc.)
• Strong understanding of data cleaning and preparation techniques
• Experience developing strong and flexible data QA processes
• Demonstrated ability to approach challenges with creativity and innovative thinking to solve problems related to data modeling
• A willingness to continuously learn and apply new techniques
• English as a working language

Desirable

• As a Data Scientist at Asset Impact, you will develop and manage complex data models, support product development, and maintain direct client engagement. You will work closely with cross-functional teams to ensure our data offerings remain accurate, impactful, and aligned with our clients’ needs
• This role also requires supporting quality assurance (QA) processes and contributing to research initiatives within our AI product development
• Data Modeling: Develop and maintain data science models and algorithms for key industry sectors, such as power, aluminum, and cement, ensuring data accuracy and applicability to client needs. Sectors may vary depending on project requirements
• Product Development: Collaborate with the product team to integrate data-driven insights into product features and contribute to roadmap planning
• Client Engagement: Serve as a technical resource, addressing client inquiries related to data models and disclosures and ensuring accurate and timely responses
• Quality Assurance: Support with QA processes during quarterly data refreshes, ensuring data integrity and reliability across all products
• Research and Methodologies: Lead and contribute to research efforts to improve the data modeling methodologies and stay abreast of advancements in data science, including machine learning applications
• Documentation: Maintain comprehensive and up-to-date documentation for data models, methodologies, and processes to ensure transparency, reproducibility, and ease of future updates or audits
• AI is a fast-growing climate data company, so your role will evolve. This means you will have opportunities to suggest, explore, and develop new tools and insights that can help AI achieve its impact-driven mission
• It also means that your role and responsibilities will be driven by the growth of AI and your skills and interests. Likewise, besides your main focus, you can be involved in other activities such as building company culture, supporting recruitment, liaising with external stakeholders (e.g., financial institutions, research institutions, data providers, etc.), and/or helping our technical efforts