¡Activa las notificaciones laborales por email!

Lead Data Scientist, Python

DataBeacon

Madrid

Híbrido

EUR 40.000 - 80.000

Jornada completa

Ayer
Sé de los primeros/as/es en solicitar esta vacante

Mejora tus posibilidades de llegar a la entrevista

Elabora un currículum adaptado a la vacante para tener más posibilidades de triunfar.

Descripción de la vacante

Join a forward-thinking company revolutionizing the aviation industry through innovative technology. As a Machine Learning expert, you'll work with a talented team, tackling exciting challenges in real-time data services. This role offers the chance to make a significant impact, with opportunities for personal growth and development. Enjoy a hybrid work environment, competitive compensation, and generous vacation days. If you're passionate about aviation and technology, this position is perfect for you!

Servicios

25 vacation days
Hybrid work-from-home policies
Annual budget for learning and conferences
Competitive compensation reviewed yearly
Personal growth plan

Formación

  • 5+ years of experience analyzing data and building machine learning models.
  • Excellent command of Python and its ecosystem.

Responsabilidades

  • Work with a skilled team of engineers on technical decisions.
  • Experiment with new technologies and create impactful features.

Conocimientos

Python
Machine Learning
Data Analysis
Communication Skills

Educación

University degree in Computer Software
Degree in Mathematics
Degree in Physics
Degree in Engineering

Herramientas

AWS
Data Dashboard Frameworks

Descripción del empleo

At DataBeacon, our mission is to revolutionize the aviation industry using a modern technology stack, open source technologies, and lean architectures.

Our first product is SimpliFID, an Aerodrome Flight Information Service (AFIS) that covers most functionalities of a radar system at a fraction of the costs. Built in Rust, Python, and TypeScript, it sources data from -S and Mode-S Secondary Surveillance Radar (SSR) systems over the Asterix CAT021 Surveillance Data Exchange protocol and delivers it to the user with near-zero latency. Our main focus is on scalability, security, and the development and discovery of additional products in real-time data services for the aviation space.

In anticipation of the exciting challenges ahead, we look forward to extending our engineering team with an exceptional aviation analytics and Machine Learning expert with strong development skills in Python.

What would you do :

  • Work with a small, highly motivated, skilled team of engineers
  • Participate in company technical decisions and roadmap planning
  • Experiment with and try out new exciting technologies
  • Have minimal administrative overhead and the possibility to create a real impact
  • Submit your first patch in less than a week and your first feature in a month

Requirements :

  • University degree in Computer Software, Mathematics, Physics, or Engineering
  • At least 5 years of relevant experience analyzing data and building machine learning models
  • Excellent command of Python and its ecosystem
  • Good command of English and strong communication skills
  • Located in Madrid or surrounding areas

Nice to have :

  • An Aerospace Engineering degree or experience in the aviation sector
  • Familiarity with containerized distributed applications deployed in AWS
  • Experience building data dashboards using any framework
  • Experience developing critical software applications in highly regulated sectors
  • Interest or affinity for aviation in general

What we offer :

  • 25 vacation days, including Christmas and New Year’s Eves
  • Hybrid and flexible work-from-home policies
  • A beautiful office in central Madrid, near Alonso Martinez
  • Annual budget for learning, conferences, books, and courses
  • Competitive compensation, reviewed yearly, with a personal growth plan

If this position and our mission resonate with you, we would be excited to hear from you!

Please send your resume and the position you are applying for to us via email.

Consigue la evaluación confidencial y gratuita de tu currículum.
o arrastra un archivo en formato PDF, DOC, DOCX, ODT o PAGES de hasta 5 MB.