Job description
Join us on a mission to save the planet!
Reversing the impact of climate change is one of the world’s biggest challenges. And businesses have a responsibility to lead the way. While individual consumer choices are important, over 80% of all the emissions reductions necessary for the world to reach Net-Zero, require business-level action. But despite the growing momentum and ambition from companies around the world to set Net-Zero goals, there are significant challenges to delivering on these ambitions. Business leaders don’t really know how they will get there. And the very first step, of getting emissions measurement right, is hard.
Terrascope is a smart carbon management and accounting platform that empowers corporations to decarbonise their operations, portfolios and supply chains in a trusted, confident, and secure manner. We are on a journey to build digital tools and analytics, datasets and algorithms, and an ecosystem of technical expertise and partnerships needed for companies to optimise their climate strategy
Terrascope is backed by one of the world’s largest food and agri companies and global leader in climate action and sustainability. With their significant strategic advantage and secure funding, the venture is uniquely positioned to drive profit with purpose; driving decarbonisation in supply chains while generating outsized financial returns.
As one of the pioneers to the data science team, 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
- Help us build and improve on a variety of databases covering (areas of focus) by collecting feedback from (users/ customers/ study group) and sourcing from multiple external services and databases
- Maintain and enhance existing models, expanding modeling into other business sectors over time.
What We Are Looking For
- At least 5 years of relevant work experience.
- 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, R or other scientific programming languages
- Knowledge of cloud concepts and analytics platforms (GCP, AWS, Azure, etc)
- Experience with ETL on messy data
- Experience with model deployment and pipelines
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 his or her authentic self.
