ESG Data Scientist (all genders)

Overview

At carbmee, most emissions datasets are inherently incomplete, and the distinction between an approximate estimate and a defensible carbon footprint relies heavily on effective modeling of missing data. As an ESG Data Scientist, you will develop and refine models and inference mechanisms that enable the carbmee EIS™ platform to transform fragmented customer and supplier data into precise Corporate, Supply Chain, and Product carbon footprints at scale.

Key Responsibilities

• Create and optimize machine learning models and large language model (LLM)-based workflows to enhance coverage, precision, and inference of emissions data, especially for incomplete supplier or product inputs.
• Architect the logic framework that manages real-world data deficiencies such as missing weights, inconsistent units, and unmatched commodities often found in customer ERP exports.
• Utilize LLM-assisted data mapping technologies extensively—leveraging tools like Claude—and engineer validation systems to prevent erroneous mappings from affecting customer data.
• Design and assess models aligned with the GHG Protocol framework, particularly ensuring proper handling of Scope 3.1/3.4 in Supply Chain Carbon Footprints, so outputs maintain both statistical reliability and methodological integrity.
• Evaluate model effectiveness across various customer implementations, adapting and refining models to suit sector-specific data nuances swiftly.
• Communicate model results and confidence levels effectively, enabling sustainability and technical teams to understand and act upon insights.
• Collaborate closely with product engineering teams to integrate validated modelling methodologies into the core EIS™ platform.

Candidate Profile

We welcome applicants at associate or senior levels:

• Associate candidates should possess strong quantitative skills in statistics, applied machine learning, or data science, along with hands-on experience building models in academic, internship, or early career settings, and a keen interest in sustainability and carbon accounting.
• Senior candidates must demonstrate a history of deploying ML models in production environments, ideally involving noisy or incomplete datasets, and be equipped to make impactful modelling decisions linked to business outcomes.

Additional qualifications:

• Proficiency in Python programming, a solid understanding of statistics and applied machine learning, and competence in SQL for handling enterprise-scale data.
• Experience with LLM-based workflows and prompt/pipeline design is highly desirable.
• Comfort navigating ambiguous and partial data sets, with an inclination to transparently highlight limitations rather than obscure them.
• Knowledge of the GHG Protocol or carbon accounting principles, with a strong commitment to developing domain expertise.
• Ability to clearly articulate modeling compromises to both technical and non-technical stakeholders.
• A degree in Data Science, Statistics, Computer Science, or a related quantitative discipline, or equivalent practical experience.
• Fluency in English and German languages.
• Residency in Munich, Bavaria, Germany.

Perks and Benefits

• Engagement in a unique and impactful mission addressing climate change through advanced carbon management technologies.
• A rewarding compensation package featuring virtual stock options and opportunities for ownership from day one.
• Health and wellness support including an Urban Sports Club membership and 1:1 mental health coaching via Nilohealth.
• Flexibility provided by a hybrid working model and access to vibrant office locations in central Berlin and Munich.
• A transparent team culture emphasizing humility, accountability, and a fun collaborative environment.
• Regular team-building events to facilitate networking and strengthen cross-functional relationships.
• Open communication through monthly company-wide meetings, newsletters, and direct Q&A sessions with the founders, ensuring transparency regarding company goals and performance.

About carbmee

carbmee is a technology firm providing enterprise software tailored for the foundational structures of the global economy. Specializing in complex manufacturing sectors such as Automotive and Defense, the company transforms fragmented environmental data into actionable insights that guide critical sustainability decisions.

With a team of top-tier engineers and industry specialists, carbmee targets the hard-to-abate emissions challenges faced by global industries. The company is scaling rapidly following a €20M Series A funding round from leading investors, with offices in Berlin and Munich and a vision to establish a foundational software enterprise in Germany.