Full Stack Data Scientist

The fashion industry is responsible for 5–10% of global greenhouse gas (GHG) emissions. As pressure for climate action grows, more companies are turning to carbon management tools. But most platforms are generic, lacking the depth needed for driving real change in fashion.

That’s why we built Carbonfact , the only environmental data platform tailored for the textile and fashion industry. Our platform automates product-level life-cycle assessments (LCAs) and company-level carbon accounting, helping brands measure, model, and reduce their impact with precision.

We’ve raised $17M from top-tier investors including Alven, Headline, and Y Combinator, and we’re already trusted by leading brands like Carhartt, GANNI, On, Allbirds, Armedangels, Jack Wolfskin, and many more.

Full Stack Data Scientist at Carbonfact

Your mission is to help fashion brands measure and reduce their environmental footprint by transforming messy, real-world business data into clear insights. You’ll work directly with customer data (bills of materials, catalogs, purchase orders, etc.), connect it to our LCA engine, and surface results in our product platform.

As a Data team, we write production-grade code, use modern data stack, leverage the newest technologies, and collaborate across many teams at Carbonfact.

This is the perfect mission, if you want to work on a meaningful data science topic and see your work immediately translate to customer impact.

What you will do

• Parse, normalize, and convert raw business data into internal data models
• Build analytics on customer data for internal use and external presentation
• Contribute to building and improving the Carbonfact platform
• Partner with Customer Operations and Science teams to deliver value to customers

Who you are

• You have 2+ years of professional experience
• Applied Python skills - you can improve our internal parsing toolbox written in Python, not just use it
• Comfortable with NLP basics, e.g. regex, typo handling, normalization.
• SQL skills and curiosity for analytics engineering
• Solid software engineering skills (e.g. clean code, unit tests, version control) - we have a high bar for code quality
• You communicate well in English, and are capable of discussing technical concepts with customers in English.
• You are excited to work with heterogeneous, real-world data
• Bonus if you have data engineering experience!

What we offer

• A transparent, collaborative and high-agency culture rooted in Carbonfact's 5 principles here .
• The essential modern amenities: MacBook, headset, ChatGPT subscription, Copilot, etc.
• 100% coverage of premium health insurance with Alan
• Annual learning budget to support professional development
• Team retreats 2 times a year
• Transparent compensation framework with level-based salary and equity; promotions tied to impact and performance (for this role, the salary range is €55k–€74k depending on level)
• Compelling equity package with employee-friendly exercise rights

Hiring Process

• Submit your application online
• Introductory video call with the Félix (Head of Data)
• Data parsing take-home task + live restitution
• Analytics interview
• Data modeling interview
• Principles interview with Carbonfact co-founder
• Final debrief and reference calls

If there is mutual interest to move forward, we’ll extend you an offer to join our team 🎉