Top Data Science Jobs in Paris

Lead technical sales for enterprise accounts: design and demonstrate Cloudera solutions, discover customer use cases, support pre- and post-sales, partner with account managers, advocate customer needs internally, and evangelize externally.

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.

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

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 enzyme screening and biocatalytic process development for small-molecule APIs. Apply reaction engineering, kinetic modeling, DoE, machine learning, and robotics to optimize and scale processes, transfer to pilot scale, document results, and drive digital transformation across international multidisciplinary teams.

Act as proxy Product Owner for Data Factory: gather and translate business needs into functional requirements, steer Agile data projects end-to-end (framing to go-live), coordinate stakeholders, define and track QCD KPIs, validate deliverables, ensure production delivery, training, and ongoing product maintenance and documentation.

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.

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 AI Lead Product Manager will define and own the product strategy for AI-powered health data, lead product teams, engage with stakeholders, and ensure compliance with regulations.

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

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.

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.

Design and deploy large-scale ML solutions for adtech: research CTR prediction and online learning, translate papers into production, run A/B tests, monitor live model performance, and collaborate with engineering teams to deliver high-throughput, low-latency prediction systems.

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.

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

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.

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

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