Working Student - Data Science 20hweek

Location: Berlin Germany
Contract Type: Parttime (up to 20h/week) Working Student

Help build the data infrastructure powering tomorrows climate solutions.

At Everest Carbon were developing groundbreaking sensors that measure how much CO is removed from the atmosphere through Enhanced Weathering a scalable natural solution to the climate crisis. Our sensors are already being used in the field and demand is growing fast. Were looking for a handson Data Science Working Student to help us analyze large volumes of sensor data and develop machine learning models to improve sensor calibration and field performance.

Youll join our R&D team at an exciting moment: scaling a breakthrough technology from 1 to 100. This is not just a typical data cleaning job its a technical dynamic role where youll explore realworld sensor data build predictive models validate algorithms and help design the data pipelines that will scale our technology globally.

Tasks

• Analyze large realworld sensor datasets from field deployments
• Develop and validate machine learning models to improve sensor calibration and data interpretation
• Build and maintain data pipelines and workflows for sensor data processing
• Support the design of algorithms for realtime sensor monitoring and diagnostics
• Perform exploratory data analysis (EDA) to identify patterns anomalies and improvement opportunities
• Collaborate closely with R&D engineers to translate raw data into actionable insights
• Document your work clearly for internal use and future scaling

Requirements

• You are enrolled in a Bachelors or Masters program in Physics Mathematics Data Science Computer Science Engineering or a related field
• Strong experience with Python (including libraries like pandas scikitlearn NumPy matplotlib)
• Solid understanding of data analysis statistics and machine learning fundamentals
• First experience with realworld noisy datasets (e.g. from sensors lab experiments or research projects)
• Familiarity with basic software engineering practices (e.g. Git version control writing clean code)
• Handson mentality: you enjoy solving technical challenges even when data is messy
• (Bonus) Experience with timeseries data signal processing or calibration models
• (Bonus) Familiarity with cloud tools (e.g. AWS GCP) or database management (e.g. SQL InfluxDB)

Benefits

• Missiondriven work: your work will directly contribute to building climate solutions based on real measurable impact
• Handson learning: work directly with our Head of R&D and CEO gaining firsthand experience in nextgeneration data science methods realworld sensor analytics and leveraging large language models (LLMs) in practice to 10x your data science work
• Growth opportunity: as we scale youll have the chance to take on more responsibility or specialize in areas like machine learning data engineering or scientific computing
• Startup vibe real impact: small collaborative team flat hierarchy and the opportunity to see your work go into production quickly
• Benefits: paid vacation healthcare retirement plan free snacks & good coffee and a beautiful Berlin office with lab and workshop space

We Would Love to Hear From You

We understand that you might not fit all of the requirements above perfectly. We envision our team to be as diverse as the solutions that will solve the climate crisis. Forming a compassionate workplace is a core part of our culture including all walks of life experiences and perspectives. Candidates from structurally underrepresented cultures and backgrounds are especially encouraged to apply.

Apply Now

If youre ready to leverage your extensive experience to make a substantial impact on climate change apply today!