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
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