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STATION F

AEROSPACE DATA SCIENTIST (M/F/D)

STATION F
France · Full-time · Entry

About

We believe in a more responsible way of flying. Our purpose at Estuaire is to help aerospace companies reduce their climate impact.

We help the aviation industry stakeholders (airlines, airports, lessors, and aviation financiers) measure and reduce their climate impact. With a special emphasis on non-CO2 emissions, including contrails, we’re on a mission to make aviation more sustainable.

You’ll join a fast-paced, entrepreneurial environment where you’ll collaborate with the Tech team to drive key initiatives that align with Estuaire’s ambitious goals. Would you like to work within an early stage company where much remains to be built with a genuine drive to make a difference ?

If so, then join Estuaire as Aerospace Data scientist (m/f/d)

Job Description

You will be part of the technical team within Estuaire and work closely with our collaborators in charge of technology. This Data Scientist role will cover the following responsibilities:

  • Data Science & Data Engineering - embed our climate expertise into killer products
    • Enhance our data platform by building scalable ETL pipelines and integrating new aviation and climate data sources.
    • Develop and deploy advanced algorithms to analyze & reduce emissions, contrails, and climate impacts using AI, optimization, and high-performance computing.
    • Deliver climate intelligence through APIs, automated data pipelines, and client reports, ensuring access to insights for customers.
  • Aviation Climate Science - bring Estuaire’s expertise through the roof
    • Together with our academic & industrial partners, build & deploy state of the art climate models for aviation based on scientific research
    • Develop the company expertise on the non-CO2 effects of aviation such as contrails, leveraging Artificial Intelligence (AI), Numerical Weather Prediction (NWP) & aircraft performance modeling
Preferred Experience

We are looking for the following qualifications but do not worry if not matching all of them :

Must-have:

  • 3-4 years of experience, as an engineer or scientist, in an aerospace/aviation company
  • Strong data science skills, including efficient Python and SQL programming, with experience in Pandas, PyTorch, and TensorFlow and good coding practices.
  • Elementary understanding of the concept of ETL/ELT, Data Pipelines, & orchestration (e.g. Composer)
  • Proven ability to work with large set of unstructured and structured tabular data (using python or spark)
  • Experience building automated data pipelines & deploying on cloud infrastructures (GCP, Git, Docker, Apache Dataflow, Big Query, FastAPI).
  • Candidate should be curious, autonomous and a reliable team player with interest for aviation, sustainability & impact
  • Fluent in french is a plus but not necessary, we speak day to day in english
  • “This cannot work” is a sentence you use very carefully

Nice-to-have:

  • Experience with flight and weather data, and a high-level understanding of flight physics
  • Familiar with the concepts of infrastructure as code, devops, and data architecture pattern

Recruitment Process

  • A first interview with a data scientist (30min) :

Get-to-know And Discussion About Experience, Motivation And Interests

Short technical challenge “e.g. how does an airplane fly?”

  • A second interview with a member of the sales team (30min)

Get-to-know And Discussion About Experience, Motivation And Interests

Home work data case to be presented in the next round

  • A third interview with the cofounders (1h):

Technical case to present around data science & aerospace engineering

Last questions and skill assessments

Additional Information

  • Contract Type: Full-Time
  • Start Date: 01 May 2025
  • Location: Paris
  • Occasional remote authorized

Key Skills

Ranked by relevance

python ai artificial intelligence infrastructure as code tensorflow composer pytorch docker devops apache pandas cloud git sql gcp etl
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Posted
Mar 29, 2025
Type
Full-time
Level
Entry
Location
Paris
Company
STATION F

Industries

Technology Information Internet

Categories

Engineering Information Technology

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