Data Science Data Science Data Modeler (Remote)

JR France; Les Ulis; À distance; EUR 70 000 - 100 000; Plein temps

Résumé du poste

A leading tech organisation is seeking a Senior Data Scientist to drive innovation through applied machine learning. This vital role involves leading ML initiatives, collaborating with cross-functional teams, and shaping data strategies to enhance user experience and influence product direction.

Qualifications

• 7+ years of hands-on industry experience with recent leadership in ML initiatives.
• Proficient in Python and experienced in deploying ML solutions.
• Strong expertise in building operational ML models.

Responsabilités

• Design, develop, and deploy scalable machine learning systems.
• Utilise advanced techniques, including neural networks and LLMs.
• Serve as mentor and technical advisor for the data science team.

Connaissances

Machine Learning

Data Analysis

Statistical Modelling

NLP

Stakeholder Management

Python

Formation

Advanced degree (MSc/PhD) in Computer Science, Statistics, Machine Learning

Outils

Modern data science tooling

Relational databases

NoSQL databases

Description du poste

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Client:

UMATR

Location:

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

444386008114187468832760

Job Views:

3

Posted:

09.06.2025

Expiry Date:

24.07.2025

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Job Description:

We are seeking a Senior Data Scientist to play a central role in driving innovation and shaping data-driven strategies across a fast-moving tech organisation. In this high-impact position, you’ll blend technical depth, product intuition, and strategic thinking to solve meaningful business challenges and enhance user experiences through applied machine learning.

Your Collaborators

You'll work closely with cross-functional product and engineering teams. This role also offers visibility at the leadership level, with influence across multiple departments.

What You’ll Do

1. Drive end-to-end ML Initiatives: Design, develop, and deploy scalable machine learning systems that support personalisation, recommendations, and search use cases.
2. Advance Applied AI: Utilise advanced techniques, including neural networks and Large Language Models (LLMs), to improve relevance and decision-making across digital platforms.
3. Be a Technical Leader: Serve as a mentor and technical advisor to other data scientists and engineers, promoting a culture of experimentation and continuous improvement.
4. Shape Strategy: Work with stakeholders across product, engineering, and analytics to align on priorities, propose data-driven solutions, and influence the roadmap.
5. Evaluate Emerging Tech: Stay at the forefront of ML/AI research and help integrate promising developments into real-world applications.

Ideal Background

• Advanced degree (MSc/PhD) in Computer Science, Statistics, Machine Learning, or related field
• 7+ years of hands-on industry experience, with recent leadership in ML initiatives
• Strong expertise in building and operationalising machine learning models
• Domain experience in at least one of the following: recommender systems, ranking algorithms, NLP, or information retrieval
• Proficient in Python and modern data science tooling
• Familiar with both relational and NoSQL databases
• Experience deploying ML solutions in production environments
• Excellent communication and stakeholder management skills