Note: The job is a remote job and is open to candidates in USA. Worldpay is one of the biggest names in payments, and they are seeking an experienced and visionary Principal Data Scientist to help scale their Data Science and AI team. In this role, you will collaborate closely with ML software engineers, product managers, and other product delivery teams to build ML models and data-driven algorithms into robust, scalable, and production-ready products that optimize the end-to-end payment process.
Responsibilities
- Define the technical vision and strategy for new data driven product initiatives with a focus on end-to-end payment optimization, aligning them with business goals
- Develop scalable and reusable capabilities to power real-time machine learning models (classification, ranking and optimization), enable rapid experimentation at scale, and support continuous monitoring of ML products
- Oversee and participate hands-on in the conceptualization, development, production deployment, operation, validation, and maintenance of ML models and model update systems
- Establish and ensure adherence to best practices for ML modeling. Stay abreast of industry trends and emerging technologies in ML and payment optimization, driving adoption of modern tools, frameworks, and infrastructure
- Foster a culture of innovation, experimentation and collaboration. Mentor an elite team of data scientists
- Partner with product, engineering, data, and compliance teams to integrate ML into products. Communicate complex technical concepts clearly to both technical and non-technical audiences
- Collaborate with other Data Science leaders to establish an operating model for machine learning R&D that optimizes end-to-end delivery of business value
Skills
- Bachelor's or master's degree in computer science, Statistics, Mathematics, Engineering, or related field (PhD preferred)
- 7+ years in ML research or engineering; 5+ years building large-scale, real-time ML systems in production, including significant experience hands-on
- Expertise in machine learning, statistical modeling, and data analysis, strong experience across the ML lifecycle and experimentation processes
- Proficiency in Python (Pandas, NumPy, scikit-learn), strong SQL and database experience (NoSQL and/or graph database experience is a plus)
- Demonstrated ability to lead solution design and execution, translating complex business requirements into actionable technology solutions
- Exceptional verbal and written communication skills, with the ability to influence and collaborate effectively across technical and business audiences at all levels, including executive leadership
- Experience in payments, fintech, or financial services
- Knowledge of payment systems (authorization lifecycle, tokenization, fraud/risk, real-time payments)
- Experience with cloud platforms (e.g., AWS, GCP, Snowflake, Databricks, Vertex AI)
- Agile development experience
- Experience in large companies, mature ML teams, and/or highly regulated industries
Benefits
- Hybrid 3 days per week in our either our Cincinnati, OH or Atlanta, GA office
- Remote in the Greater Boston Area only
- Worldpay is dedicated to offering individuals rewarding career opportunities and competitive compensation
- Reasonable accommodations will be provided for individuals with qualified disabilities both during the hiring process, as well as to allow the individual to perform the essential functions of the job, if hired
Company Overview