Data Scientist

Resumen del puesto
Salario: No especificado
Teletrabajo ocasional
Competencias y conocimientos
Capacidad de resolución de problemas


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El puesto

Descripción del puesto

We are an ambitious impact start up with a goal of making sustainability data more standardized and available. We’re looking for a Data Engineer/Scientist to join our team and help us build a scalable data management platform.

You will work along experienced data scientists to deploy powerful AI tools and automations. This is a unique opportunity to join a fast-growing, young, dynamic tech company determined to make a strong positive impact on the world.

Our team’s objective is to develop data pipelines and infrastructures that can handle large amounts of data and support the needs of our clients as they grow and evolve. This includes building flexible and modular systems that can be easily extended or modified as requirements change, and designing data processes that are efficient and easy to scale.

Purpose and responsibilities include:

  • Build robust data pipelines between client documents and our ESG Database

    → Client send us sustainability-related documents for us to aggregate and manage their ESG data. We are building tools to extract their data in a structured way and display it through the app.

  • Ensure scalability of our infrastructure through automations

    → We need to adapt the large variety of client data formats. We are building AI powered automations make our processes faster. These tools must be built around a solid data infrastructure to ensure scalability.


  • Graduated in engineering or computer science

  • Strong coding skills in python. Confortable with git / GitHub

  • Solid technical background with understanding and/or hands-on experience in software development, API manipulations and NLP

  • Experience in devOps / MLOps, GCP experience is a good plus

  • Strong problem-solving skills and willingness to roll up one’s sleeves to get the job

  • Strong desire to work for a purpose-driven tech startup in a dynamic environment

Proceso de selección

  • Screening interview with lead data

  • Technical interview

  • Meeting with another data team member

  • Founder interview

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