Senior Data Scientist H/F - Carbon Watch (CDI)

Passionate about tech? Interested in energy and climate action? Join Kayrros, a fast-growing startup using artificial intelligence to transform the world’s biggest industries.

Kayrros is a leading data analytics company that monitors and measures energy, natural resources, and industrial activity using proprietary algorithms. We combine satellite imagery, data science, and applied mathematics to create unique insights and customer-specific solutions for better decision-making.

Our team of experts and tech wizards are working to bring transparency to energy and the environment, from crude oil tank volumes to methane emissions. In just five years, the Kayrros team has grown to include 140 experts in data science, mathematics, and energy, representing over 20 nationalities and 10 spoken languages. The team works from 6 offices around the world in New York, Houston, London, Paris, Singapore, and Bangalore. We give our clients valuable information on global market movements to make better business decisions—whether that’s trading, investing, or managing their operations.

In 2021 alone, Kayrros was recognized as a member of French Tech’s Green 20, signed a landmark contract with the European Space Agency, and was acknowledged in the latest UNEP Global Methane Assessment report.

Kayrros is building a team of talented people to positively disrupt the world’s biggest industries and reshape the future of energy and the environment.

Join us to make a difference!

We are currently recruiting for our Paris office, a Senior Data Scientist H/F  (CDI)

You will be joining the product team developing Kayrros Carbon Watch, a game-changing CO2 emissions monitoring tool using satellite imagery and proprietary algorithms to compute near realtime emissions data globally,

Role

Kayrros Carbon Watch is now live, and you will be in charge of both running the product, in partnership with the rest of the team, and working on new features. This includes extending the methodology to new geographies or finding ways to monitor emissions for more types of industrial installations using satellite imagery and other innovative datasets.

In this position, you will be working closely with the Product Manager and the Data Engineers from the team, in such a way that you both learn the core technologies and contribute to the development of new features that you pinpointed as crucial for success.

Data Scientists have a central role in Kayrros. They contribute to scoping projects, identifying and collecting data, constructing features, designing models, visualization, testing, and improving products with clients.

Requirements

This is an ideal opportunity if you are looking for a full-time position starting as soon as April 2022, and you want to join a fast-growing start-up.

• You have at least 2-3 years of experience in a similar position

• You have a strong quantitative background and are passionate about machine learning, statistics, and operations research. You are very interested in deep learning, machine learning applied to time series and images, as well as signal processing.

• You have programming skills in Python, Machine Learning libraries, data visualization packages, and data manipulation.

• You can design and deliver working prototypes in a fast-paced environment and put them into production with the help of data engineers.

• You are dynamic, curious, and eager to learn about the energy, natural resources, and greenhouse gas emission domains.

• You are autonomous, you do not hesitate to provide the team with new ideas and challenge existing solutions.

• You can communicate clearly in English, including with non-technical people.

• You are willing to contribute actively and have a real impact on the company's success.

Expertise in the emissions accounting or energy sector will be greatly valued.

Why join Kayrros?

We are a young, fast-growing tech company and are extremely passionate about what we do.

We are located in the WeWork building on Rue la Fayette, 75009 (free drinks, events, and a vibrant atmosphere).

You will work with an international team and practice your English (or Chinese, German, Swedish, Portuguese...) on a day-to-day basis.