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About Payoneer
Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.
By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.
Senior Data Scientist – AI & ML
Hybrid
Full-time
Role Summary
You’ll be one of the founding data scientists on our brand-new ML team, building Payoneer’s AI and data science capabilities from the ground up. Working closely with the Tech Lead, you’ll develop and deploy models across payments, risk and customer analytics, and build the frameworks that evaluate our GenAI and LLM-based agents. You’ll set the modeling standards, technical practices and culture the team will scale on, and help hire the data scientists who come next. It’s a great fit if you’re excited to build something new and own it end to end.
What you'll do
Build evaluation frameworks for GenAI and LLM agents – golden datasets, LLM-as-judge, and quality, safety and compliance monitoring
Own the full ML model lifecycle, from research and experimentation through production deployment and monitoring
Design and deploy ML models that solve complex business problems across payments, risk and customer analytics
Work with the Tech Lead to define core modeling methodologies, analytical standards and research practices
Set up the team’s approach to feature engineering, model validation, experimentation, A/B testing and performance monitoring
Lead exploratory research to uncover insights, identify ML opportunities and evaluate new techniques
Partner with business stakeholders to translate problems into data science solutions and communicate findings clearly
Shape the team’s culture and documentation standards, and help interview, onboard and mentor new data scientists
Requirements
5+ years of experience in Machine Learning, Data Science or a related technical role
Proven track record of building and deploying ML models in production environments
GenAI/LLM evaluation experience – benchmark datasets, LLM-as-judge or human-in-the-loop evaluation, and monitoring of RAG and agent systems
Strong proficiency in Python and SQL, and in ML frameworks such as TensorFlow, PyTorch and Scikit-learn
Experience with cloud platforms (AWS, GCP or Azure) and MLOps tools and practices
Technology leadership – a history of making tech stack decisions and establishing development practices that scale
Excellent communication skills, with the ability to explain technical concepts and influence technical decisions
Entrepreneurial, self-starter mindset – excited to build from scratch and comfortable with ambiguity and ownership
Sc. or M.Sc. in Computer Science, AI, Data Science, Mathematics or a related quantitative field
The Payoneer Ways of Working
Act as our customer’s partner on the inside
Learning what they need and creating what will help them go further.
Do it. Own it.
Being fearlessly accountable in everything we do.
Continuously improve
Always striving for a higher standard than our last.
Build each other up
Helping each other grow, as professionals and people.
If this sounds like a business, a community, and a mission you want to be part of, apply today.
We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.