Intro

Mostemissions data in the world is incomplete by default, and the difference between a rough estimate and a defensible carbon footprint often comes down to how well you can model the gaps. As an ESG Data Scientist at carbmee, you build the models and inference logic that let carbmee EIS™ turn fragmented, partial customer and supplier data into accurate Corporate, Supply Chain, and Product carbon footprints (CCF, SCF, PCF) at enterprise scale.

This is a modeling and applied ML role grounded in a very specific, very real domain problem: when a customer's data is missing a key field, you're the one who understands why that forces a fallback from activity-based to spend-based emissions estimation, and you're the one building the models that make that fallback as accurate as possible rather than a rough guess.

Your tasks

Develop and fine-tune machine learning models and LLM-based workflows to improve emissions data coverage, accuracy, and inference at scale: including estimation logic for incomplete supplier or product data.
Build the logic layer that handles real-world data gaps: missing weights, inconsistent units, unmapped commodities, and other patterns that show up constantly in customer ERP exports.
Work with LLM-assisted data mapping (we use Claude extensively) and build the validation and guardrail logic that catches hallucinated mappings before they reach a customer's numbers.
Design and evaluate models against the GHG Protocol scope structure: including the Scope 3.1/3.4 split underlying Supply Chain Carbon Footprint (so that model outputs are not just statistically sound but methodologically correct).
Analyze model performance across customer deployments and iterate quickly; a model that works for one industrial sector's data patterns often needs real rework for another.
Translate model outputs and confidence levels into language that customer sustainability and technical teams can trust and act on.
Partner with product engineering to bring successful modeling approaches into the core EIS™ platform.

Your profile

Who you are

Associate: you have a strong quantitative background (statistics, applied ML, or data science) with some hands-on model-building experience (academic, internship, or early career) and real curiosity about the sustainability/carbon accounting domain.

Senior: you have a proven track record shipping ML models into production (not just notebooks), ideally including work with incomplete or noisy real-world data, and are comfortable owning modeling decisions with significant downstream business impact.

Strong Python skills and solid grounding in statistics and applied machine learning; SQL proficiency for working with real enterprise data.
Experience with LLM-based workflows and prompt/pipeline design is a strong plus.
Comfort with ambiguous, incomplete data: and the instinct to flag a limitation rather than silently smooth over it.
Familiarity with GHG Protocol or carbon accounting concepts; genuine willingness to build deep domain fluency is required.
Ability to communicate modeling tradeoffs clearly to both engineers and non-technical business stakeholders.
Degree in Data Science, Statistics, Computer Science, or a related quantitative field, or equivalent practical experience.
Fluent in English and German.
Based in Munich.

Benefits

Unique & Powerful Mission: join a fast-growing and ambitious tech company that is shaping the future of carbon management and fighting climate change
Compensation & Rewards:a steep learning curve and ownership from day one. We offer an attractive compensation package, including virtual stock options
Health & Wellbeing: Urban Sports Club subscription to stay healthy & fit.1:1 coaching sessions with Nilohealth for your mental well-being.
Flexibility & Work-Life Balance: a flexible hybrid working culture with a lovely accessible office in Berlin-Mitte or the center of Munich
Team Culture:Our transparency, Humility, and Accountability values create a unique and supportive working environment. Be part of a multinational, motivated team that thinks work should be fun!
Connection & Networking:Summer Offsite, Winter Party, and regular team events We give you plenty of opportunities to connect with people, strengthen cross-functional relationships, and boost collaboration
Trust & Transparency: monthly All-Hands Meetings, weekly update newsletters, and Founders Q&As. We keep you informed on current company numbers and goals