Staff Data Scientist

About the Position

Staff Data Scientist

Tel Aviv

About Us

Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights.

Riskified is proud to work with incredible companies in virtually all industries including Booking.com, Acer, Gucci, Lorna Jane, GoPro, and many more.

We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day.

Responsibilities

• Drive Identity Graph Innovation: Architect and advance the next generation of our Identity Graph Engine using state-of-the-art graph models, transformers, and machine learning techniques.
• Technical Leadership: Define the research roadmap for identity resolution, setting technical standards and guiding complex research projects from initial concept to high-throughput production systems.
• Large-Scale Modeling: Build scalable predictive and representation-learning models over massive tabular, sequence, and graph-structured datasets.
• Cross-Functional Architecture: Collaborate closely with Data Engineering, Core Software, and Product teams to seamlessly integrate complex ML pipelines into real-time production environments.
• Mentorship & SOTA Research: Benchmark and import cutting-edge academic research into practical business solutions while mentoring senior data scientists on modern modeling paradigms.

Requirements

• Education: M.Sc. or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Experience: 6+ years of hands-on experience designing, training, and deploying complex machine learning models in large-scale production environments.
• Deep Learning & SOTA Models: Proven expertise with Transformers, Deep Neural Networks (DNNs), Graph Neural Networks (GNNs), or Advanced Tabular Learning architectures.
• Big Data Ecosystem: Strong practical experience working with large-scale distributed data processing systems (e.g., Spark, Databricks) and graph databases/frameworks.
• Technical Influence: Proven track record of technical leadership, setting architectural direction, and translating complex business requirements into high-impact algorithmic solutions.

Nice to Have

• Experience in fraud detection, risk management, or fintech.
• Experience in Identity Resolution, Entity Disambiguation, Link Analysis, or Complex Network Modeling.

We Offer

• Equity for all employees, Keren Hishtalmut, pension
• Private medical insurance, extra time off for parents and caregivers
• Commuter and parking benefits
• Team events, fully-stocked kitchen, lunch stipend, happy hours, yoga, pilates, functional training, basketball, soccer
• Wide-ranging opportunities to volunteer and make an impact
• Commitment to your professional development with global onboarding, skills-based courses, lunch & learns
• Awesome Riskified gifts and swag!

About the Company

We are a fast-growing and dynamic tech company with 750+ team members globally. We value collaboration and innovative thinking. We’re looking for bright, driven, and passionate people to grow with us.

Our Tel-Aviv team is currently working in a hybrid of remote and in-office work. We have recently moved to our new space in Tel Aviv - check it out here!

Riskified is deeply committed to the principle of equal opportunity for all individuals. We do not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law.