Senior Data Scientist I
Role details
Job location
Tech stack
Job 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.
Requirements
Do you have experience in Python?, Do you have a Master's degree?, * 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.
- 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.