CloudPaySenior 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
This role is part of a new team responsible for building CloudPay’s new modern data platform.
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 Engineers, Product Managers, and Analytics specialists, working on NLP and Generative AI across two key streams within the Data organization.
You’ll be the first Data Scientist responsible for driving CloudPay’s Data Science and AI initiatives:
Platform Services: Build scalable infrastructure and capabilities to deploy AI solutions efficiently and cost-effectively.
Product & Customer Solutions: 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.
This is a builder role — the ideal candidate is equally comfortable designing a model architecture and deploying it to production, and thrives in an environment where the path isn't always paved.
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.
This is a great opportunity to join a newly created Data team with the mandate to build CloudPay’s modern data platform from scratch. This is a rare opportunity to influence architectural decisions, define engineering standards, and shape a platform that will power analytics, AI/ML initiatives, and next‑generation payroll and HR products at global scale.
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 Product, Engineering, and Analytics teams to translate business requirements into actionable, production-ready AI solutions.
Design and optimize MLOps pipelines using Databricks and cloud-native stacks (AWS Fargate, Bedrock, ECS), integrated with our newly built data platform; 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
Experience:
Proven experience as a Data Scientist, AI Specialist, or Machine Learning Engineer, preferably with a focus on NLP and Generative AI.
Hands-on experience taking models from experimentation to production is essential
Technical Skills:
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 Databricks and 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.
Education: Degree in quantitative field (Mathematics, Statistics, Computer Science, Physics, Engineering, or other quantitative disciplines). This is preferred NOT essential.
Languages: 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
Spain Package and Benefits
Competitive Salary
Competitive vacation allowance
Calm app
Private Medical Insurance
EAP
Intensive Days
Employee Referral Program
WFH Allowance
Life Assurance
CloudPay NOW
Paid Volunteering days
Marriage Leave
Study Leave
Bereavement Leave
CloudPay is committed to being an equal opportunities employer.
#LI-AP1 #LI-HYBRID #LI-REMOTE
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.Glassdoor