> Markdown version of [/jobs/ext/4007232-senior-data-scientist-i](https://www.wearedevelopers.com/jobs/ext/4007232-senior-data-scientist-i). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist I - **Company:** Checkout.com - **Location:** Paris, France - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** A/B Testing, Data Analysis, Computer Vision, Data Files, Data Integrity, Python (Programming Language), Machine Learning, Deep Learning, Generative AI, Data Analytics, Data Management, Machine Learning Operations - **Published:** October 29, 2026 - **Apply:** https://www.welcometothejungle.com/en/companies/checkout-com-1/jobs/senior-data-scientist-i_paris_hbzrpier ## About the Role * Over 5 years of applied experience as a Data Scientist in a data-intensive environment, working with complex, large-scale, and diversified data sets. * Expert-level Python programming knowledge and demonstrable experience deploying models in a high-traffic production environment. * Proven experience in GenAI / Computer Vision model experimentation, including the creation and implementation of deep-learning models and scalable GenAI pipelines. * Exceptional communication skills, with the ability to articulate technical concepts and complex findings clearly to both technical and non-technical audiences. * Parlez-vous français? Excellent French language skills (written and spoken) are a non-negotiable for this role. You'll be diving straight into a French-speaking environment from day one. * A proactive mindset: the drive to challenge existing processes and decisions to continuously improve efficiency and outcomes for everyone. * Highly curious, able to take initiative, and work with a high degree of autonomy. * Strong commitment to a data-driven approach, consistently defining clear success metrics and rigorously measuring progress against them. * Flexible and adaptable, with a strong willingness to rapidly learn and master new technologies and domains. Bonus Points: * Solid theoretical and practical knowledge of Computer Vision, Machine Learning, and Generative AI principles. * Direct experience solving real-world business problems through innovative, data-driven approaches. ## Description As a Data Scientist at Checkout.com , you will be embedded within the Identity Verification Team, a critical function focused on building innovative products to verify the identities of individuals and businesses globally. In this high-impact role, you will be instrumental in the development of next-generation verification features, deploying intelligent, production-ready solutions by leveraging state-of-the-art Generative AI and Computer Vision technologies. You will be expected to work closely and collaboratively with Product, Development, and Data teams to ensure successful, end-to-end delivery of these solutions, while constantly researching and integrating emerging technologies. A core part of your contribution will be safeguarding data integrity and ensuring compliance, and translating complex data insights into clear, actionable recommendations for stakeholders to support informed, data-driven decision-making across Checkout.com . What you will be doing: * Drive the design and development of innovative GenAI and Computer Vision-based approaches to solve complex, real-world identity verification challenges. * Execute deep-dive exploratory data analysis (EDA) and technical discoveries to generate meaningful, novel insights that shape product direction. * Design, implement, and analyze rigorous experiments and A/B tests to quantitatively measure model performance and directly guide iterative improvements. * Take full ownership of new model development, managing the end-to-end lifecycle from initial conceptualization and design through to deployment and monitoring in a production environment. * Actively collaborate with cross-functional teams (Engineering, Product, Risk) across the company to maximize the positive impact of data science initiatives. * Champion a culture of technical excellence, cross-team learning, and knowledge sharing within the Data organization.