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Enhanced Oil Recovery I Academic Writer and Journal I Petroleum Engineer | Reservoir Engineer Data Scientist (Remote – Based in Switzerland )
Do you see data as more than just numbers? Can you find insights hidden in complexity and turn them into real-world impact? We’re looking for a Data Scientist who’s as comfortable coding as they are collaborating—someone who can help us make smarter, faster, data-informed decisions.
This is a remote-first role open to candidates based in Switzerland, offering the flexibility to work from your home office, the Alps, or your favorite café.
Responsibilities Design and build predictive models, from experimentation to deployment
Analyze large datasets to uncover trends, behaviors, and growth opportunities
️ Collaborate with product, engineering, marketing, and operations teams to apply data to business challenges
Develop dashboards and automated reporting tools to keep insights flowing
Explore new data sources and drive better data collection and structuring
️ Translate complex findings into clear, actionable recommendations
Stay up to date with the latest in machine learning, AI, and data science best practices
Qualifications Degree in Computer Science, Mathematics, Statistics, or related field (Master’s or PhD = bonus)
️ Proficient in Python or R, and skilled in SQL and data visualization tools (e.g. Tableau, Power BI, or Looker)
Experience with machine learning libraries (e.g. scikit-learn, XGBoost, TensorFlow, etc.)
Strong statistical and analytical skills—you’re curious and rigorous
Clear communicator, fluent in English (German or French is a plus!)
Based in Switzerland, with the ability to work independently in a remote setup
What You’ll Get 100% remote work from anywhere in Switzerland
Flexible schedule and a wellness-oriented culture
Diverse, international team that values innovation and collaboration
Continuous learning opportunities—courses, certifications, conferences
A chance to work on meaningful projects with real impact
Why This Role? We’re not just looking for someone to run models—we want a thinker, builder, and problem solver who can connect the dots between data and strategy. If you love finding answers, asking better questions, and turning data into action—we want to hear from you.
Apply now and help us shape the future with smart data.
Seniority level Entry level
Employment type Full-time
Job function Engineering and Information Technology
Industries Marketing Services
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