Data Scientist (electricityMap)

The electricityMap team, part of Tomorrow, is hiring a data scientist with project management skills to help us build and improve our database of worldwide electricity emissions data, advance our forecasting and modeling efforts to help make our data more actionable, and help our partners best leverage our data to accelerate the energy system towards a zero-carbon future.

At electricityMap, we maintain a database and pipeline that ingests real-time data in order to power a popular open-source project and commercial API used by companies, universities, NGOs, and policy-makers (including some heads of state!) around the world every day to understand and reduce the climate impact of the electricity grid.

Our team works from across Europe and out of an office in Copenhagen. You’re welcome to work from Copenhagen, but you’re also welcome to work from anywhere in Europe as long as you’re prepared to visit Copenhagen (or other team offsite locations!) several times each year.

You are welcome at Tomorrow for who you are, no matter your background or what you look like. We believe that it’s in our differences that we will find the power to solve one of the biggest challenges of our time.

About us

At Tomorrow, we’re building tech products that address the climate crisis. We’re a venture capital-backed company that was founded 4 years ago with the creation of electricityMap. You can read more about our mission here.

Tomorrow is made up of two autonomous product teams, electricityMap, which already has had a meaningful impact on reducing carbon emissions thanks to our open-source approach and our partnerships with organizations like Google, and Bloom, which is building a solution to help organizations measure, understand and reduce their carbon footprint.

About the role

We’re facing growing demand for our data and insights, with both increasingly being leveraged at scale. With these exciting developments comes a need for constantly improving our database, improving our modeling and forecasting capabilities, and being there to help our partners make the most of our data and API. If you’re looking for opportunities to not only solve interesting data science and machine learning problems, but also be hands-on with external stakeholders and the direct impact of your work, look no further. Your job will be to:

  • Work with our team (especially with our data engineers!) and open-source community to continuously improve the electricityMap project and database, including building new parsers, identifying and fixing data quality issues, and empowering our community members to make similar contributions
  • Build machine-learning models to estimate power production, consumption, and carbon intensity around the world, in close collaboration with our data engineers
  • Managing our external collaborations and projects with diverse stakeholder groups, including research partners, NGOs, and private sector clients, as well as acting as a technical advisor to these projects
  • Contribute to sharing our mission by writing whitepapers, reports, and blog posts, and occasionally representing electricityMap at conferences

Expect to roughly spend 50% of your time stewarding and improving our datasets, 20% of your time engaging with stakeholders and managing projects, 20% of your time building machine-learning models, and 10% of your time sharing our mission and methodology through whitepapers, reports, etc.

A note about the project management aspect of the role: internally, we work with an loosely agile-style cycle structure (heavily inspired by Basecamp), but in your role you will be managing primarily our external collaborations, meaning that the style of project management will depend on the stakeholders.

About you

We’re looking for a structured, purpose-driven, and empathetic data scientist with an aspiration to work directly with our clients and partners, and who is comfortable with autonomy and tackling challenging problems that will help the world understand and reduce its emissions.

Your personality, breadth of experience and your hunger to learn means more than years of experience. Even if you don’t fulfill all the skills listed below, do apply!

As the ideal future teammate, you:

  • Knowledgeable in data science (Python, Pandas, Notebooks), ideally with experience in production environment working with large data pipelines
  • Have experience with technical project management and are a strong, structured communicator
  • Have experience building, deploying and testing time-series-based machine learning models such as GLMs, LSTMs or others.
  • Are comfortable with client-facing work and being a liaison between our partners and our product team
  • Have knowledge about the power system and carbon accounting methodologies (emission factors etc..) OR the ambition and ability to learn quickly and become a go-to expert for our partners to work with
  • Are autonomous and comfortable with self-teaching as well as asking for help when needed

Tomorrow is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, or age.