Full-Time

Founding Data Scientist

Posted on 3/13/2025

Prior Labs

Prior Labs

11-50 employees

AI for tabular data classification

Compensation Overview

€80k - €200k/yr

Freiburg im Breisgau, Germany + 1 more

More locations: Berlin, Germany

In Person

Category
Data & Analytics (2)
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Requirements
  • PhD or Masters in a quantitative field
  • 3 years experience building/deploying ML/AI (industry, Kaggle, open-source)
  • Deep Python and data science ecosystem knowledge
  • Strong software engineering practices
  • Ability to translate complex tech into tangible value and explain concepts clearly
  • Excitement for solving fundamental AI problems for structured data
Responsibilities
  • Be a Power User and Tinkerer: Dive deep into our novel foundation models (like TabPFN), experiment relentlessly using unique capabilities such as in-context learning, and uncover new applications.
  • Demonstrate Groundbreaking Value: Build compelling proof-of-concepts showing how native tabular AI solves problems traditional methods can’t.
  • Shape Agentic Data Science: Contribute hands-on to the vision of AI as a true reasoning partner for automated discovery.
  • Applied Data Science & Experimentation: Identify high-impact use cases; build compelling PoCs/demos showcasing foundation model advantages; develop best-practice workflows; benchmark rigorously.
  • Customer Success: Engage users to understand challenges; showcase foundation model value via technical demos linked to user business objectives; guide onboarding for quick wins using in-context learning; translate feedback into technical insights.
  • Community & Education: Design/deliver engaging workshops/tutorials; create content explaining the foundation model paradigm shift vs traditional ML; empower community members (Kaggle, GitHub); share enthusiasm and findings.
Desired Qualifications
  • Kaggle: Grandmaster/Master/Expert status
  • Experience in Technical Consulting, Solutions Engineering, MLOps, Developer Advocacy
  • Contributions to Open-source libraries and data science tools
  • Portfolio of blog posts, talks, projects demonstrating technical communication

Prior Labs builds TabPFN, a foundation model designed to understand and analyze tabular data from spreadsheets and databases, offering a pre-trained model for classification on small datasets via an API or PaaS. Users provide tabular data and the model classifies it without needing extensive hyperparameter tuning, delivering AI-driven insights quickly. The approach is tailored to tabular data with a focus on small datasets, enabling easy integration for data scientists and businesses. The goal is to make AI-powered analysis of tabular data accessible and efficient, helping users speed up data-driven decision making.

Company Size

11-50

Company Stage

Acquired

Total Funding

$1.1B

Headquarters

Freiburg, Germany

Founded

2024

Simplify Jobs

Simplify's Take

What believers are saying

  • SAP acquisition provides €1B investment over four years for scaling TabPFN.
  • Access to SAP's enterprise customers in finance, healthcare, manufacturing accelerates adoption.
  • Open-source TabPFN downloaded over 3 million times drives developer community growth.

What critics are saying

  • EU antitrust rejects SAP acquisition in 3-6 months, causing existential crisis.
  • Hugging Face open-source TFM overtakes TabPFN-2.6 on TabArena in 6-12 months.
  • SAP blocks non-Joule Agents, alienating data scientists in 12-18 months.

What makes Prior Labs unique

  • TabPFN uses transformer pre-trained on billions of synthetic datasets for tabular data.
  • TabPFN-2.6 tops TabArena benchmark, outperforming rivals in structured data tasks.
  • TabPFN delivers predictions in one forward pass without task-specific training.

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Benefits

Company Equity

Paid Vacation

Health Insurance

Company News

DS Media GmbH
Apr 7th, 2025
Prior Labs secures €9M for AI model

Prior Labs, a KI startup founded in 2024 by Frank Hutter, Noah Hollmann, and Sauraj Gambhir, has developed TabPFN, a model that enhances the analysis of tabular data. The company recently secured €9 million in funding from investors like Balderton Capital and TX Ventures. Prior Labs aims to enable companies to make precise predictions quickly without custom model training. They plan to expand their team and improve their model and API capabilities.

Pulse 2.0
Feb 20th, 2025
Prior Labs Raises €9M for AI Innovation

Prior Labs, an AI startup, raised €9 million in pre-seed funding led by Balderton Capital, with participation from XTX Ventures, Hector Foundation, Atlantic Labs, Galion.exe, and AI angel investors. The funding will accelerate product development and expand the team. Prior Labs' TabPFN model, designed for tabular data analysis, offers faster, more accurate predictions and is now being scaled for real-world impact, enhancing industries like finance and healthcare.

Trending Topics
Feb 6th, 2025
PriorLabs raises €9M for AI data analysis

PriorLabs, a Freiburg-based startup, has raised €9 million in a pre-seed round led by Balderton Capital, XTX Ventures, and others. Founded in late 2024 by experts including Frank Hutter, the company develops AI models for tabular data analysis. Their technology, based on TabPFN, aims to enhance data insights without requiring companies to train their own datasets. The funds will be used for product development, team expansion, and API integration into business data workflows.

EU-Startups
Feb 5th, 2025
Prior Labs raises €9 million for foundation models for spreadsheets and databases | EU-Startups

Freiburg-based Prior Labs, an AI startup innovating foundation models for spreadsheets and databases, has raised €9 million in pre-Seed funding, to

FinSMEs
Feb 5th, 2025
Prior Labs secures €9M pre-seed funding

Prior Labs, an AI startup from Freiburg, Germany, raised €9M in Pre-Seed funding. The round was led by Balderton Capital, with participation from XTX Ventures, Hector Foundation, Atlantic Labs, and Galion.exe, as well as AI angel investors like Peter Sarlin and Thomas Wolf. The funds will be used to expand operations and development efforts.

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