Data Scientist, Sustainability Database

Watershed is on a mission to help the world's largest enterprises measure, reduce, remove, and report their emissions. The decisions these organizations make are only as good as the quality and actionability of the global sustainability database powering these core outcomes - which is why we're looking to bring on data scientists to accelerate our mission of a zero carbon economy.

We are seeking a highly skilled and passionate Data Scientist to join our dynamic team. In this role, you will collaborate closely with data & climate scientists, product & infrastructure engineers, and product managers to manage, optimize, and expand the datasets powering core carbon accounting and forecasting. You will play a crucial role in developing key climate & sustainability data assets, designing scalable and robust data pipelines, and building shared tooling, interfaces, and processes for company-wide database development and maintenance.

As part of this work, you will:

• Work with a team of scientists to help build, maintain and expand the database needed for sustainability impact assessment throughout the global value-chain.

• Develop and maintain data models and schemas to ensure data consistency and integrity across multiple sources and platforms.

• Build pipelines to efficiently ingest external data sources into a well-structured warehouse of sustainability data assets.

• Implement data quality checks and monitoring processes to identify and address issues promptly, ensuring the reliability of our data.

• Build tooling and define principles and processes for data scientists and data analysts to safely and efficiently write new data pipelines and assets into the system.

• Work with product and engineering teams to ensure the global sustainability database is built to achieve a variety of customer outcomes.

You might be a fit if you:

• Have 5+ years of industry experience in data engineering, analytics engineering, or data science (with an emphasis on databases, pipelines, and architecture).

• Are proficient in data processing and automation languages like Python and SQL, and with data pipelining tools like DBT, in production environments.

• Are an excellent verbal and written communicator. You can communicate complex topics to technical and non-technical audiences.

• Thrive in high-volume environments, with both systematic organization to drive efficiency and meticulous attention to detail to ensure accuracy.

• Are willing to roll up your sleeves to work with unstructured and inconsistent data. You have good intuition for how numbers in a table map to the real world.

• Are passionate about solving sustainability challenges and excited to contribute to doing so at a fast paced startup. You learn quickly and operate well in ambiguity.