Senior Data Scientist

**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 on a cross-functional team with designers, engineers and product managers to frame questions, collect data and deliver insights; helping to maximize impact and effectiveness of our solution;
- Build predictive models using both systems modeling and machine learning to generate insights and automate product processes
- Maintain and enhance existing models, expanding modeling into other business sectors over time.
- Build and maintain APIs, be able to develop scalable APIs and have a good understanding of Database Layers
- Design and implement APIs to make sure the production service works fine with machine learning models
- Have hands on experience debugging pods and APIs within Kubernetes, ability with Terraforms code and Cloud architecture, be familiar with CICD
- Good understanding of data structures, optimization techniques, caching and multi-services architecture

**What we are looking for**:
- At least 4 years of extensive experience as a Data Scientist
- Excellent communication and analytical skills
- Extensive experience (in academia and/or industry) leading independent projects in data science
- Practical expertise with machine learning, statistical modeling and/or systems modeling
- Experience or familiarity with natural language processing
- Experience accessing and sourcing data from different sources using both SQL and NoSQL querying languages
- Comfortable with Python, NodeJS, Kubernetes and Terraform
- Knowledge of cloud concepts and analytics platforms (GCP, AWS, Azure, etc)
- Experience with ETL on messy data
- Experience with model deployment and pipelines

**Your Privacy and Fairness in Our Recruitment Process**
- 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._