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Senior Data Scientist

PayoneerHerzliya, Tel Aviv District, IsraelCore Platforms & Data
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Salary
Not listed
Job type
Full-time
Experience
Senior · 5+ yrs
Posted
6 Oct 2026
Status
Open · checked 8d ago

About this role

Senior Data Scientist is a full-time hybrid position at Payoneer located in Herzliya, Israel, suited for an experienced professional looking to establish artificial intelligence capabilities from the ground up.

Role Overview

Payoneer seeks a Senior Data Scientist to join a newly formed machine learning team in Herzliya. This founding role involves designing modeling standards, establishing technical frameworks, and helping hire future team members.

Key Responsibilities

Construct evaluation frameworks for generative artificial intelligence and large language model agents, incorporating benchmark datasets and monitoring for quality and safety
Manage the complete machine learning lifecycle, handling research, experimentation, production deployment, and ongoing monitoring
Create machine learning models addressing challenges in payments, risk management, and customer analytics
Collaborate with the technology lead to establish core modeling methodologies and analytical standards
Define procedures for feature engineering, model validation, experimentation, and performance tracking
Conduct exploratory research to identify opportunities and test new techniques
Communicate findings to business stakeholders and translate operational problems into technical solutions
Guide documentation standards and assist with onboarding and mentoring incoming data scientists

Requirements

Five or more years of professional experience in machine learning, data science, or a related technical discipline
Demonstrated background in developing and releasing production-grade machine learning models
Practical experience evaluating generative artificial intelligence and large language models, including judge frameworks and retrieval-augmented generation systems
Proficiency in Python, SQL, and machine learning libraries such as TensorFlow, PyTorch, and Scikit-learn
Familiarity with cloud infrastructure including AWS, Google Cloud Platform, or Azure, alongside machine learning operations practices
Background in technology leadership, making technical stack decisions, and setting development standards
Bachelor of Science or Master of Science degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related quantitative field

Nice to Have

Background working within the fintech or financial services sector

Skills and Tools

Python
SQL
TensorFlow
PyTorch
Scikit-learn
AWS
GCP
Azure
GenAI and LLM evaluation tools
MLOps practices

About the Company

Established in 2005, Payoneer is a global financial platform connecting underserved businesses in over 190 countries and territories to the worldwide economy. The company provides infrastructure for international payments, compliance, multi-currency accounts, and working capital with a distributed workforce of over 2,500 employees.

How to Apply

Interested candidates should visit the official Payoneer careers page to submit an application for this hybrid opportunity.

Skills and tech stack

Questions candidates ask

Where is the Senior Data Scientist position located?

The role is a hybrid position based in Herzliya, Tel Aviv District, Israel.

How many years of experience are required for this role?

Candidates must have five or more years of experience in machine learning, data science, or a related technical field.

What educational background is expected?

Applicants need a B.Sc. or M.Sc. in Computer Science, AI, Data Science, Mathematics, or a related quantitative field.

What programming languages and frameworks are needed?

The position requires strong proficiency in Python and SQL, as well as experience with machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn.

Is fintech experience mandatory?

No, fintech or financial services experience is listed as an advantage rather than a strict requirement.

Ready to apply?

The application is on the official Payoneer careers page.

Apply on company site