Data Scientist

About This Job Opportunity

Our Vision

To be the world's most trusted global payroll partner, simplifying pay for all employees.

Our Mission

Empowering global workforces with seamless, compliant, and innovative payroll and payment solutions, enabling businesses to thrive in a connected world.

Our People

Our fundamental beliefs at CloudPay are built on core values of professionalism, passion, empowerment, innovation, and teamwork. We value our employees and strive to create a great workplace where everyone is valued, heard, inspired, and encouraged to bring their authentic selves to work. We're committed to providing an excellent employee experience through fulfilling projects, empowerment to make a difference, and an environment that inspires innovation.

What Makes This Role Exciting

We’re looking for a motivated and impact-driven Senior Data Scientist to join our Data team. You will join a dynamic squad of Data Scientists, ML Engineers, Data Engineers, Product Managers, and Analytics specialists, working on NLP and Computer Vision across two key streams within the Data organization:

• Platform Services: Build scalable infrastructure and capabilities to deploy AI solutions efficiently and cost-effectively.
• Product & Customer Solutions (your stream): Develop customer-centric AI solutions that enhance the payroll and HR experience for CloudPay clients, including reusable services (agents, document understanding, chatbots), GenAI-enabled capabilities for insights, reporting, recommendations, and assistants, as well as higher-risk AI innovations with the potential to significantly improve client experience.
  
  

If you’re passionate about data, thrive at the intersection of innovation and impact, and want to help build a platform that powers data-driven and AI-first solutions at global scale, this role is for you.

Main Responsibilities

• Own the end-to-end design, development, and deployment of high-impact AI and ML features, from prototypes to production-ready services.
• Build robust infrastructure, tools, and frameworks for training, evaluating, and serving ML models at scale, including LLMs and Generative AI solutions for both platform and customer-facing products.
• Collaborate closely with Data Scientists, ML Engineers, Product, Engineering, and Analytics teams to translate business requirements into actionable, production-ready AI solutions.
• Design and optimize MLOps pipelines using Python, FastAPI, and cloud-native stacks (AWS Fargate, Bedrock, ECS), integrated with data platforms such as Snowflake; drive automation, monitoring, and CI/CD practices across the ML lifecycle.
• Review and validate model code, pull requests, and deployment flows, ensuring technical excellence, reproducibility, and scalability across the AI team.
• Define and align data exchange protocols and architecture with DevOps, Data Engineering, and Backend teams.
• Partner with Product Analytics to track KPIs, monitor model performance, and measure the impact of AI solutions on CloudPay products and client operations.
• Operate within cross-functional, multinational teams, with autonomy to experiment, innovate, and test new approaches while observing tangible effects on CloudPay clients and operations.
• Stay ahead of AI trends, tools, and infrastructure innovations to guide long-term strategy and maintain CloudPay’s competitive edge.
  
  

Experience Needed For This Role

• Degree in quantitative field (Mathematics, Statistics, Computer Science, Physics, Engineering, or other quantitative disciplines).
• Proven experience as a Data Scientist, AI Specialist, or Machine Learning Engineer, preferably with a focus on NLP and Computer Vision.
• Strong understanding of statistical, data processing, and machine learning methods, implemented using standard open-source frameworks.
• Proven experience building production-ready ML solutions and applying MLOps best practices.
• Familiarity with AI model monitoring, evaluation, and experimentation techniques.
• Expertise in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn); knowledge of additional programming languages is a plus.
• Experience with cloud platforms (AWS, GCP, or Azure) and scalable AI/ML solutions.
• Analytical & Problem-Solving Skills: Strong ability to translate complex business needs into actionable AI solutions.
  
  

Collaboration & Communication:

• Experience working cross-functionally with Product, Engineering, and Analytics teams;
• Able to clearly communicate technical concepts to non-technical stakeholders.
• Excellent written and oral communication skills in English.
  
  

About You And Our Core Values

• Taking ownership, working with integrity and respect
• Being a team player is key to our culture
• Solution and customer focused
• Great initiative with the goal for excellence in achieving results
• Dedicated to developing and always looking for continuous improvements
• Be creative, be committed, be engaged and enjoy what you do
  
  

CloudPay is committed to being an equal opportunities employer. Competitive benefits for Spain, Poland and the Philippines.

The CloudPay culture is built upon on five core values, from which we develop our service, our technology and our business strategies. Our fundamental beliefs are a promise to our employees, customers and partners, built on the core values of professionalism, passion, empowerment, innovation, and teamwork.

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