Top Data Science Jobs in Paris

Drive development and deployment of AI solutions, translating business needs into product requirements, managing backlogs, and coordinating cross-functional teams.

Lead global adoption of Pernod Ricard's Matrix MMM platform to optimize marketing investments, advise senior leaders on A&P decisions, drive media effectiveness, shape product roadmap with Data Science and Engineering, lead change management, and build global marketing performance capabilities and governance frameworks to accelerate ROI.

You will leverage your technical expertise and sales leadership to drive revenue growth, build partnerships, and represent technology to engineering companies, focusing on capturing new business opportunities in Europe.

As a PhD Investment & Strategy Associate, you'll conduct research and financial analysis focused on AI-driven technology companies, providing insights for investments while collaborating with a talented team to support strategic decision-making.

As a Partners Solutions Architect at Anthropic, you'll build technical relationships with integrators and cloud partners, facilitate AI solutions, and represent Anthropic at industry events.

Design and execute benchmarks, curate datasets, evaluate benchmarks, and build evaluation infrastructure for AI model assessment while collaborating with R&D.

The Product Operations Manager will enhance collaboration between product, engineering, and marketing teams, manage product launches, and analyze customer feedback to improve product strategies.

Lead end-to-end ML product roadmaps and initiatives (e.g., Attachment Matcher, Transaction Categorizer). Collaborate with data scientists, engineers, and stakeholders to define, deliver, and monitor ML solutions that drive measurable business value for SMEs across Qonto's platform.

The AI Deployment Engineer collaborates with startups to optimize AI systems, develop evaluation methodologies, and provide technical insights to improve product quality and customer experience.

Lead end-to-end delivery of multiple software projects by creating and managing plans, running agile ceremonies, tracking KPIs, coordinating distributed teams and stakeholders, mitigating risks, and ensuring on-time delivery using project management tools (Linear).

Lead pre-sales technical engagements for Neo4j: assess customer needs, design graph-based architectures, build prototypes, advise technical decision-makers, and support sales with proposals and training.

Lead GTM strategy and product positioning for key products, create messaging and content, run campaigns and launches, analyze market and competitive trends, and collaborate cross-functionally to drive adoption, pipeline growth, and customer engagement.

As an AI Deployment Strategist, you'll drive the adoption of Mistral's AI solutions by collaborating with customers, designing AI roadmaps, and ensuring successful deployment and value realization.

The AI Deployment Strategist will drive AI adoption and deployment in industrial enterprises, collaborating with clients to design AI roadmaps, integrating AI into workflows, and ensuring customer success while navigating IT compliance and security constraints.

As a Software Engineer, you will design and develop applications, write clean code, engage in code reviews, optimize systems, and explore new technologies in a remote team.

As an Associate AI Deployment Strategist, you'll support the adoption of Mistral's AI solutions by designing roadmaps, collaborating with teams, and aiding customer success in a client-facing role.

Senior Product Lead to define, roadmap, and deliver Agentic AI solutions for enterprise programs. Lead requirements gathering, shape end-to-end AI/ML solutions, create PRDs and success metrics, coordinate cross-functional teams, manage stakeholders, and drive adoption, training, and value realization across brands.

The Lead Golang Software Engineer develops server solutions, leads technical designs and code reviews, mentors colleagues, and ensures the quality of engineering practices in the Commercial Systems unit.

Design, develop, and deploy production-grade ML and AI solutions including LLM fine-tuning, RAG architectures, NLP pipelines, time-series forecasting, supplier risk and anomaly detection, scalable data pipelines, and RESTful integrations with enterprise systems.

The internship involves deploying data processing pipelines, collaborating with clients, conducting R&D in AI and data science, and supporting sales efforts.

The Engineering Manager will oversee a team building AI solutions for advertising, mentor staff, manage project delivery, and contribute to architectural discussions.

Data Scientists at QuantCo will analyze data, build machine learning models, and communicate results to stakeholders, aiming for impactful solutions.

As a Data Science Intern, you'll identify frameworks for data-driven business challenges, transform datasets, run analyses, build machine learning models, and communicate results.

Develop and refine NLP projects by improving LLM models, implementing production models, and conducting performance experiments.