Does building awesome, innovative products that add up to something meaningful sound like a dream come true?

Come join us and make that vision a reality!

About

You'll work on developing data-driven solutions for a global leader in ropeway technology, using machine learning, AI, and real-world sensor data to build innovative digital products and improve mobility systems worldwide.

Responsibilities

  • Own data-driven projects end-to-end, from problem definition and data exploration to model development, validation, and production deployment.

  • Design, develop, and validate machine learning, AI, and advanced analytics solutions using sensor, environmental, and operational data.

  • Identify new opportunities for data-driven solutions and contribute to the evolution of existing digital products.

  • Translate business needs into practical data science and machine learning approaches.

  • Ensure high standards of code quality, testing, deployment, and technical documentation.

  • Collaborate with cross-functional teams to turn complex data into actionable insights and scalable solutions.

Our offer

  • Competitive salary on B2B contract

  • Fully remote position

  • Real impact and independence at work

  • Individual career path

  • Work-life balance

  • A non-corporate atmosphere where innovation, personal growth, and teamwork thrive

  • 100+ smart, curious & ambitious engineers

What you bring

  • 4+ years of experience in Data Science, Machine Learning, or Data/ML Engineering.

  • Strong proficiency in Python and SQL.

  • Hands-on experience developing and deploying machine learning models.

  • Experience with cloud platforms (e.g., Azure), Databricks, Spark, or Dask.

  • Ability to independently manage data-driven projects from concept to production.

  • Degree in Data Science, Mathematics, Statistics, Physics, or a related field.

  • Strong analytical thinking, problem-solving skills, and a collaborative mindset.

  • Fluent English

Nice to have

  • Experience with MLOps, CI/CD, and production ML workflows.

  • Background in meteorology, geosciences, or related natural sciences.

  • Experience working with IoT, sensor data, time-series analysis, or industrial data.

  • Experience building data products in interdisciplinary teams.

Benefits

  • International Projects

  • Small Teams

  • Flat Structure

  • Friendly Atmosphere

  • Flexible Hours

  • Individual Career Path

We want your TALENT! Don’t hesitate and APPLY! We are happy to tell you more details about this position in a phone call.

Our recruitment process is very fast and straightforward to ensure a great experience from the first interview to joining your dream team!