AI Data Scientist

Arlq; Paris; Hybride; EUR 60 000 - 90 000; Plein temps

Avantages offerts par ce poste

Academic publications

Startup environment experience

Code models mastery

Résumé du poste

Arlequin in Paris seeks a research-focused developer to join our R&D team, developing and testing state-of-the-art algorithms powering HUDEX platform. You will collaborate with researchers across NLP, ML, and data science.

Candidates with 2+ years of experience, strong autonomy, and professional English are welcome. This on-site role in Paris offers exposure to a cutting-edge startup environment and impactful data-driven projects.

Qualifications

• Must have Python and data manipulation / data science / ML tooling experience.
• Must have NLP experience and working with high-dimensional unstructured data.
• Strong autonomous work style and ability to read scientific literature.

Responsabilités

• Develop and test state-of-the-art algorithms powering HUDEX platform.
• Read scientific literature and produce literature reviews.
• Collaborate with R&D team across NLP, unsupervised learning, and graph/topology.
• Balance exploratory research with practical implementation to support engineering or client-facing needs.

Connaissances

Python

Data manipulation

Data science

Machine learning

NLP

Unsupervised learning

Literature review

Professional English

Outils

Git/GitHub

LaTeX

MLflow

Description du poste

Develop and test state-of-the-art algorithms that powers our platform

2+ years of experience

Full-time

On-site in Paris

About Arlequin

Arlequin is building the sovereign European alternative to Palantir: an AI platform capable of processing massive data volumes without bias, with high-impact use cases such as fighting disinformation. Founded in late 2024 by Hugo Micheron (researcher in geopolitics and systemic risk) and Antoine Jardin (CNRS research engineer).

The role

You'll join our R&D team of 8, focused on researching, testing, and developing state-of-the‑art algorithms that power HUDEX, our platform that lets non-technical analysts interpret narrative dynamics across large-scale digital ecosystems. You'll work alongside experienced researchers, several of whom hold or are completing PhDs, across a range of fields (unsupervised learning, NLP, computer vision, topology, and more).

Stack

Technical stack:

Must have: Python and strong experience in data manipulation / data science / machine learning / development tools and libraries, Git/GitHub

Nice to have: LaTeX, MLflow

Methods & domains:

Must have: experience in NLP, working with high-dimensional unstructured data (text, computer vision, speech, multimodality…), clustering and statistics

Nice to have: experience with other unsupervised learning methods, deep learning, mathematical knowledge in graph and/or topology

What we're looking for

• A strong scientific mindset and genuine intellectual curiosity
• Able to read scientific literature and produce literature reviews
• A high degree of autonomy
• Versatility and adaptability: you're comfortable researching across many fronts, switching between quick, pragmatic solutions and deeper long-term work, and occasionally stepping outside pure research to support engineering or client-facing needs
• Quick to pick up new algorithms and put them into practice
• Open to junior candidates
• Professional English

Bonus

Academic publications

Already comfortable in a startup environment

Mastery of agentic coding tools and code models

Process (~2 weeks)

Screening (15 min)

Fit interview (30 min)

Technical interview (1h)

Founder culture fit (45 min)

Reference calls

Offer