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About The Company
Checkout.com is a leading global payments solutions provider dedicated to transforming the way businesses accept payments online. With a focus on innovation, security, and seamless user experience, Checkout.com offers a comprehensive suite of payment processing services tailored to meet the dynamic needs of merchants across various industries. The company prides itself on leveraging cutting-edge technology and data-driven insights to optimize payment flows, reduce fraud, and enhance customer satisfaction. Operating in a fast-paced, innovative environment, Checkout.com fosters a culture of collaboration, continuous learning, and excellence, making it an ideal place for professionals passionate about fintech and data science to grow and make impactful contributions.
About The Role
Checkout.com is seeking an experienced Senior Data Scientist to join our dynamic team. In this pivotal role, you will lead advanced optimisation projects and drive the development of scalable, robust machine learning architectures. Your primary responsibility will be to enhance payment flow efficiency through innovative data and ML services, focusing on complex multi-objective optimisation challenges. Collaborating closely with other senior data scientists, product managers, and stakeholders, you will shape the architecture of our decisioning systems to improve accuracy, efficiency, and business outcomes. This role offers an exciting opportunity to work on high-impact projects in a fast-growing fintech environment, utilizing your expertise to solve complex problems and influence strategic decisions.
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Qualifications
- 5+ years of experience in designing, building, and maintaining machine learning models for large-scale business problems
- Deep understanding of frequentist and Bayesian statistical methods
- Proficiency in supervised and unsupervised learning techniques
- Experience modeling complex interactions such as cluster or network effects
- Expertise in model explainability and feature interaction analysis
- Strong programming skills in Python, with a focus on production-grade code
- Experience with distributed computing frameworks such as Spark or Dask
- Ability to collaborate effectively with technical and non-technical stakeholders
- Familiarity with leveraging large language models (LLMs) for coding support and process optimization
- Proven track record of building trusting relationships with cross-functional teams and understanding business models
Responsibilities
- Lead the design and implementation of multi-objective optimisation models and scalable machine learning architectures
- Create custom loss functions, evaluation metrics, and tuning frameworks tailored to complex business challenges
- Collaborate with product teams to align technical strategies with business objectives and resolve technical blockers
- Apply efficient data transformations using distributed computing tools and ensure comprehensive test coverage for production systems
- Mentor junior data scientists, fostering skill development and best practices within the team
- Utilize model explainability techniques to interpret model outputs and drive feature engineering improvements
- Communicate technical concepts clearly to non-technical stakeholders to facilitate informed decision-making
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Benefits
- Flexible hybrid working model with three days in the office per week to support collaboration and team bonding
- Opportunity to work on innovative and impactful projects within a fast-growing fintech environment
- Access to continuous learning and professional development resources
- Competitive salary and benefits package
- Collaborative and inclusive company culture that values diversity and innovation
Equal Opportunity
Checkout.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, or any other protected characteristic. We believe that diverse teams drive innovation and success, and we welcome applicants from all backgrounds to apply.
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