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Data Scientist

Data Scientist

Amsterdam/Remote, Permanent

Orange Quarter are working with a company changing the face of how big business approaches sustainability. Working with a vast amount of global environmental data they are designing solutions so global brands can reduce their impact on the planet, and serial offenders can be regulated better. They’re born out of the USA’s best known technical university and work largely remotely, with offices in the US and Amsterdam.


OQ-industries Sustainability

What to expect:

You will be proactively developing data models and solutions to environmental issues, primarily surrounding oil and gas but with no limit to scope. This is an R&D function where creativity is encouraged, discovering new analytical solutions, where you can form new data sets and theory that can challenge existing mentalities and regulation. This role will suit a proactive self-starter, who is not afraid to clean and process their own data before tackling it. You will join a data team of three.


  • Chance to work directly on sustainable data science solutions impacting the health of the planet.
  • Remote working until the end of the year, with high work flexibility afterwards.
  • Work with serial entrepreneurs, startup accelerators and minds from top global universities.
  • Informal atmosphere where experimentation, imagination and resourcefulness are encouraged.


  • Their current data tech stack includes Python, SQL, AWS - Athena, S3, Neptune (graph database), Airflow, D3.js/Plotly, ML algorithms (k-NN, Naive Bayes etc..).
  • Good ability with Python. Python 3 and the usual standard stack are expected (pandas, scikitlearn etc).
  • A sense of creativity. You will be working with disparate datasets and problems that don't have established solutions.
  • Experience in the likes of environmental analytics, econometrics, economics is a plus. You will be working with physical data science issues on the ground.
  • Experience in geolocation and/or geospatial data is a plus.

Sounds good?

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