Data Scientist

Resumen del puesto
Indefinido
Paris
Unos días en casa
Salario: No especificado
Competencias y conocimientos
Ciencia de datos
Visualización de datos
Sistemas de control de versiones
Tutoría
Colaboración y trabajo en equipo
+15

Descartes & Mauss
Descartes & Mauss

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El puesto

Descripción del puesto

We are seeking a Data Scientist (Junior) with a strong foundation in applied AI and a real curiosity for advanced systems such as Large Language Models (LLMs).

As a Data Scientist at D&M, you will:

Support LLM development 
Assist in training, fine-tuning, and evaluating large language models for specialised business tasks.

Contribute to Agentic AI initiatives 
Work with senior team members to design and test multi-agent systems able to plan, reason, and orchestrate data workflows.

Experiment and learn 
Prototype new ideas, analyse performance, and contribute to documentation and knowledge sharing.

Apply analytical thinking 
Use statistics, probability, and optimisation to build robust, explainable models and evaluate their results.

Drive insights 
Turn raw data into clear visualisations and actionable recommendations for strategy and product teams.


Requisitos

Foundations in AI / ML 
1–2 years of experience in data science, analytics, or applied ML. 
Good understanding of regression, classification, clustering, and basic NLP. 
Proficient in Python (Polars, scikit-learn, NumPy) and familiar with deep-learning frameworks (PyTorch / TensorFlow).

LLMs & Agentic AI (bonus) 
Interest or first-hand exposure to LLM APIs (GPT, Claude, Mistral, etc.) or frameworks such as LangChain or CrewAI.

Data Infrastructure 
Experience writing SQL queries, cleaning datasets, and working with data

Version control system(Git)

Knowledge of version control is essential to work on cross functional features.

Mathematics & Modelling 
Solid grasp of statistics and probability. 
Ability to interpret model outputs and communicate uncertainty.

Mindset 
Curiosity, precision, and eagerness to learn from senior peers. 
Comfort working in a fast-moving, collaborative environment.

Nice-to-have 
Experience with data visualisation (Plotly, Power BI, Streamlit) or open-source contributions. Knowledge of cloud environments (AWS / GCP) is a plus.

What you’ll love about working at Descartes & Mauss:

  • Work from home (or wherever you perform best) up to 3 days per week

  • Wednesdays & Thursdays at our WeWork Paris 9ᵉ office (dog-friendly 🐶)

  • Access to WeWork offices worldwide

  • Full-remote periods during summer and year-end holidays

  • 18 + nationalities and balanced gender representation

  • 3 company-wide workshops per year + an annual offsite (last one: Tuscany 2024 🇮🇹)

  • 50 % Navigo reimbursement

  • Swile card – €16/day, 55 % covered

  • 25 days off + RTT + your birthday off 🎉

  • Buddy program for newcomers

  • Continuous training & mentorship from experienced peers


Proceso de selección

  1. 30 min chat with HR

  2. 30 min chat with the hiring manager

  3. Case study

  4. Office tour & team meeting (if Paris-based)

D&M believes diversity drives innovation and is committed to creating an inclusive environment for all employees. We welcome candidates of all backgrounds, genders, and abilities to apply. Even if you don’t meet every requirement, if you’re excited about the role, we encourage you to go for it - you could be exactly who we need to help us create something amazing together!

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