Empowering enterprises to keep the planet habitable for all, Terrascope aspires to be the easiest carbon measurement and decarbonization platform for companies in the land, nature, and net-zero economy sectors.
Terrascope is a leading decarbonisation software platform designed specifically for the Land, Nature (LAN), and the Net-Zero Economy (NZE). As the easiest-to-use platform for these sectors, our comprehensive solution blends deep industry expertise with advanced climate science, data science, and machine learning. Terrascope enables companies to effectively manage emissions across their supply chains.
Our integrated platform offers solutions for Product and Corporate Carbon Footprinting, addressing Scope 3 and land-based emissions, SBTi FLAG & GHG Protocol LSR reporting, and supporting enterprise decarbonisation goals.
Publicly launched in June 2022, Terrascope works with customers across sectors, from agriculture, food & beverages, manufacturing, retail and luxury, to transportation, real estate, and TMT.
Terrascope is globally headquartered in Singapore and operates in major markets across APAC, North America, and EMEA. Terrascope is a partner of the Monetary Authority of Singapore’s ESG Impact Hub, a CDP Gold Accredited software provider, has been independently assured by Ernst & Young, and a signatory of The Climate Pledge to achieve Net Zero by 2040.
As a data scientist at Terrascope, you will play a strategic role in designing, building and scaling our decarbonisation solution while addressing the needs of the industry players.
In this role you will:
- Work in a cross-functional team with designers, engineers and product managers to understand business needs, translate them into technical requirements, ideate and implement end-to-end data or technical solutions.
- Lead the end-to-end deployment of machine learning models, from data collection and preprocessing to model training, evaluation and deployment.
- Design and implement scalable machine learning algorithms and systems that can efficiently handle large volumes of data with strong reliability.
- Maintain and enhance existing models and API services.
- Research and stay updated with the latest developments and trends in machine learning.
- Develop and maintain data extraction and transformation pipelines.
- Be comfortable dealing with unstructured and messy data.
- Develop prototypes for new data science-enabled features, including frontend and backend for the app
What we are looking for:
- At least 3 years of extensive experience as a Data Scientist.
- Excellent communication and analytical skills.
- Experience (in academia and/or industry) leading independent projects in data science.
- Comfortable with Python, SQL and/or Node.js.
- Good understanding of data structures and algorithms, optimization techniques, caching and multi-services architecture.
- Practical expertise with machine learning, statistical modeling and/or systems modeling.
- Experience or familiarity with natural language processing.
- Experience accessing data from SQL and NoSQL databases, particularly MongoDB.
- Experience and knowledge of cloud concepts and analytics platforms (GCP, AWS, Azure, etc).
- Proficiency with Kubernetes and container orchestration.
- Experience in the DevOps domain, spanning Infrastructure-as-Code (IAC), GitOps and CI/CD tools, including Terraform, Argo CD and Github Actions.
- Experience with deploying ML models at scale and running ML pipelines.
- Experience in adhering to software engineering best practices and writing clean code.
- Experience with ETL on messy and unstructured data
Your Privacy and Fairness in Our Recruitment Process
We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency and minimize bias, we use AI-powered tools to assist with tasks such as resume screening and candidate matching. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. We continuously validate our systems to uphold fairness, transparency, and accountability, ensuring they do not result in unfair or discriminatory outcomes. Your personal data is handled securely and transparently, and final hiring decisions are made by our recruitment team to ensure a human-centered approach. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at [email protected].
We're committed to creating an inclusive environment for our strong and diverse team. We value diversity and foster a community where everyone can be their authentic self.
