Data Scientist

Landfills are responsible for 6% of global emissions. Yet we believe that under every landfill lies a powerful opportunity, and that great landfill management is a key part of the circular economy. We started Hydryx to prove that with the right technology, we don’t have to choose between a solid business case and climate action. We can have both.

Who we are

At Hydryx, we’re turning landfills into climate solutions. Landfills are one of the biggest blind spots in climate tech. They leak methane, one of the most potent greenhouse gases, into the atmosphere for decades. We think that’s fixable.‍

Founded in 2023, Hydryx builds technology that makes landfill gas systems work like they should. We replace outdated, manual infrastructure with fully automated systems. Our platform combines on-site sensors, real-time monitoring, and an AI-driven control algorithm to capture more gas, reduce emissions, and generate clean power.‍

The entire stack is built in-house; hardware, software, cloud, and installed directly in the field. No assumptions, no black boxes. Just better control, better outcomes, and a real path to decarbonizing waste.

‍And honestly, the fact that this sector isn’t “sexy” is exactly why it’s so interesting to us. It’s overlooked, underserved and full of low-hanging climate wins.‍

We’re based in Amsterdam, scaling fast, and hiring. If you want to work on real-world climate problems, ones you can see, touch, and fix, come build with us.

Your role

You are the problem-solving layer that connects all our teams. You love puzzles and get energized when complex datasets and unknowns are thrown at you. With a sharp analytical mind and passion for climate impact, you’ll turn raw landfill data into predictive insights that help us extract more energy and cut emissions faster. From exploring time-series sensor data to uncovering cross-pipeline effects, you bring structure to chaos and clarity to decisions.

Responsibilities

Collaborate with the CTO and algorithm team to translate findings into automation

Correlate weather data (rainfall, pressure, temperature) with landfill gas production trends, helping create the world's first predictive landfill gas capture algorithm

Analyze time-series sensor data on power consumption with the embedded team

Optimise the pump cycle time to maintain accurate measurements whilst reducing impact on our sensors

Discover cross-pipeline flow effects and interdependencies with the algorithm team

Investigate how gas composition (methane vs. CO₂) predicts yield and volatility

Quantify how valve tuning across pipelines affects aggregate power production at landfill generator

Identify and resolve root causes of data anomalies and sensor failures with the operations team

Build reproducible pipelines, models, and dashboards for analytics and control strategies

Find trends in data that relate pipeline characteristics to sensor drift and damage

Identify the required data for successful algorithm implementati on

Who you are

You’re a curious, data-driven problem solver who thrives where hardware meets data. You love extracting signal from noise and turning insights into impact.

Strong Python skills; Pandas, NumPy, SciPy, Stats, Scikit-learn, Matplotlib, etc.

Experienced with time-series data; processing, modeling, forecasting, anomaly detection

Solid grasp of statistics, machine learning, and hypothesis testing

Strong skills in data visualization and communicating findings

Comfortable with APIs, large datasets, and cloud databases; AWS RDS, SQL, etc.

Proactive, independent, and thrives under pressure

Bonus points for experience with gas sensing, energy trading / forecasting, or IoT datasets

Show us the hardest problem you worked on.

What we offer

Work that matters. You’ll build systems that capture landfill methane, turn it into energy, and cut one of the world’s biggest climate problems down to size. Real tech, deployed in the real world

Amsterdam as home base. We’re building both a product and a team, and for that you need to be in the room part of the week. How you manage that balance is up to you, but collaboration happens fastest in person.

Upside that’s real. We offer a competitive salary, growth opportunities, and meaningful stock options, because if we win, you should share in the value created‍

Ownership from day one. The learning curve is steep, the feedback is direct, and we’ll throw as much responsibility at you as you can handle. It’s simple : the more you raise the standard, the more trust and ownership you earn

Good times included. From free daily healthy lunches and Friday beers to team dinners and a ski trip in February, we work hard, but we also make time to celebrate the ride together