🇫🇷 Paris, France · 1w ago
Data Scientist, Sr.
Sundayy
LinkedInseniorEnglish-friendly
About The CompanyCheckout.com is a leading global fintech company that facilitates over 10 billion transactions daily for more than one billion customers worldwide. Renowned for powering seamless digital experiences, Checkout.com collaborates with prominent brands such as eBay, Spotify, Klarna, Uber, and Sony. With a presence across six continents and its headquarters in London, the company is at the forefront of shaping the future of financial technology. Committed to innovation and excellence, Checkout.com fosters a dynamic environment where talented professionals can make a significant impact. The company's mission is to enable businesses to deliver effortless, scalable digital payment solutions, ensuring secure and efficient transactions across diverse markets.About The RoleAs a Data Scientist at Checkout.com, you will be an integral part of the Identity Verification Team, focusing on developing cutting-edge products for verifying the identities of individuals and businesses globally. This role requires leveraging advanced Generative AI and Computer Vision technologies to create innovative, production-ready solutions that address complex identity verification challenges. You will collaborate closely with cross-functional teams including Product, Engineering, and Risk to ensure successful deployment and continuous improvement of these solutions. Your work will involve conducting deep exploratory data analysis, designing rigorous experiments, and translating data insights into actionable recommendations. A key aspect of this role is safeguarding data integrity and ensuring compliance with relevant regulations, all while contributing to the company's mission of delivering secure and reliable verification processes.QualificationsOver 5 years of experience as a Data Scientist in data-intensive environmentsExpert-level proficiency in Python programmingHands-on experience deploying models in high-traffic production environmentsProven expertise in Generative AI and Computer Vision model experimentationExperience developing deep-learning models and scalable AI pipelinesStrong communication skills, capable of articulating complex concepts to diverse audiencesProactive mindset with a drive for continuous improvementHigh level of curiosity, initiative, and autonomy in work approachCommitment to a data-driven methodology with clear success metricsAdaptability and willingness to learn new technologies rapidlyResponsibilitiesDesign and develop innovative approaches based on Generative AI and Computer Vision to solve identity verification challengesConduct exploratory data analysis to uncover meaningful insights that inform product developmentDesign, implement, and analyze experiments and A/B tests to evaluate model performanceManage the full lifecycle of model development from conceptualization to deployment and monitoringCollaborate with cross-functional teams to maximize the impact of data science initiativesChampion technical excellence and foster knowledge sharing within the data organizationEnsure data integrity and compliance with relevant regulations throughout all processesTranslate complex data findings into clear, actionable insights for stakeholdersBenefitsCompetitive salary and performance-based incentivesFlexible hybrid working model with a mix of in-office and remote workOpportunities for professional growth and developmentCollaborative and inclusive work environmentAccess to cutting-edge technology and innovative projectsComprehensive health and wellness benefitsSupportive company culture that values diversity and inclusionEqual OpportunityCheckout.com is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, ethnicity, gender, age, sexual orientation, disability, religion, or any other characteristic protected by law. We believe that diverse teams drive innovation and success, and we welcome applications from individuals of all backgrounds who are eager to contribute to our mission.Sourced from LinkedIn. Relocantly aggregates public job postings; apply on the original site.