Data Scientist

The role

You will become part of Tomorro's early team to enable our customers in achieving their GHG emissions objectives with data-driven insights. You have the skills to gather, transform, and analyze data from various sources and structures. You'll be able to apply validation and testing techniques to ensure that analytical results are accurate and trustworthy for decision-makers.
Key responsibilities:

Enrich raw data to enable analytical insights internally and for customers
Sourcing and evaluating third-party data and analytics, and developing integration requirements
Performing ad-hoc analysis to address customer needs and inform Tomorro's strategy and priorities
Developing, validating, and deploying Machine Learning capabilities, both internal and customer-facing
Evaluating methodological documentation for environmental emissions factors to determine suitability for use cases
Collaborating on the design of data models, technical architecture, data flows, schemas, and API contracts
Developing tools to ensure data integrity and streamline data integration for internal and customer platforms
Tracking work through the software development lifecycle in JIRA, submitting well-documented pull requests, and collaborating through reviews
About Tomorro

Our mission is to unlock a new concept of value for companies by monetizing their real ESG impact. We believe it all starts with transparency and making the invisible visible through data. The second step is taking action, enabling companies to make informed decisions to drive real-world impact, including achieving their net-zero targets. The last step is creating value, where real-world impact is rewarded or penalized in capital, commercial, or talent markets.
To achieve this, our objective is to transform climate, social, and governance programs from being a sidelined tick-box exercise into strategic assets. This enables businesses to leverage their ESG position to win deals, lower capital costs, and attract and retain talent.

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