Senior Data Scientist I

0013 Checkout SAS; Paris; On-site; EUR 60,000 - 80,000; Full time

Job summary

0013 Checkout SAS in Paris is seeking a Data Scientist to join the Identity Verification Team. In this high-impact role, you will develop next-generation verification features using Generative AI and Computer Vision technologies. Collaborating closely with various teams, your goal will be to ensure data integrity and translate complex insights into actionable recommendations.

The ideal candidate will have over 5 years of applied experience, expertise in Python, and a proven track record in model experimentation.

Qualifications

• Over 5 years of experience as a Data Scientist in a data-intensive environment.
• Expert-level Python programming knowledge.
• Experience in deploying models in high-traffic production environments.
• Proven background in GenAI/Computer Vision model experimentation.

Responsibilities

• Design and develop innovative GenAI and Computer Vision-based solutions.
• Execute exploratory data analysis to derive meaningful insights.
• Implement and analyze A/B tests to measure model performance.
• Take full ownership of new model development and lifecycle management.
• Collaborate with cross-functional teams to maximize data science impact.

Skills

Python programming

Data analysis

Generative AI

Computer Vision

Communication skills

Proactive mindset

Problem-solving

Job description

About the role

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 work closely with Product, Development, and Data teams to ensure end‑to‑end delivery, while researching and integrating emerging technologies. A core part of your contribution will be safeguarding data integrity, ensuring compliance, and translating complex data insights into clear, actionable recommendations.

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‑drive 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 guide iterative improvements.
• Take full ownership of new model development, managing the end‑to‑end lifecycle from conceptualization and design through to deployment and monitoring in production.
• 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.

About You

• Over 5 years of applied experience as a Data Scientist in a data‑intensive environment working with complex, large‑scale, 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 creation and implementation of deep‑learning models and scalable GenAI pipelines.
• Exceptional communication skills, able to articulate technical concepts and complex findings clearly to both technical and non‑technical audiences.
• Proactive mindset, driving continuous improvement of processes and outcomes.
• Highly curious, self‑initiated, and able to 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 willingness to rapidly learn 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.