First seen by Alion on Nov 3, 2026.
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!
Tech stack
- Python
- SQL
- Azure
- Machine Learning
- Databricks

