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 Wayfair, 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.

About the Role

In this role, you will be part of the Performance Optimization Team, responsible for developing and implementing analytical components to optimize the performance of our decision engine. You will be leading end-to-end solutions, including researching capability enhancement, designing new solutions and refining existing systems. Through collaboration with cross-functional teams, you will integrate these ML capabilities into our decision pipeline, driving value for our customers.

What You'll Be Doing

• Optimize Decision-Making with Advanced Analytical Tools: Turn insights into automated decision-making by applying cutting-edge algorithms and data science principles. Leading end-to-end development of the solution, from ideation, and design to implementation.

• Design the way decisions are made in Riskified: be part of our Performance and Risk management platform - converting contractual obligations into mathematical constraints, optimizing risk profiles and yielding superior results.

• Be part of a delivering, professional team: foster a culture of innovation, advocate for improvements, scaling and extension of ML tooling and value creation.

• Build reliant, scalable solutions: monitor application health, track relevant metrics, and implement effective maintenance strategies.

Qualifications

• At least 4 years of experience as a Machine Learning Engineer/ Data Scientist
• BSc in Computer Science or similar. M.Sc/Ph.D - Advantage
• Experience in developing ML solutions successfully, from data analysis to evaluation and deployment
• Solid understanding of building production-grade services, with a good understanding of scale, distributed systems, and up-to-date software development concepts (CI/CD, dockerization & more)
• Excellent communication skills with the ability to clearly explain complex concepts to business stakeholders
• Experience with distributed processing engines - specifically in spark - Advantage
• Demonstrated experience in the application of MLOps frameworks and tools - Advantage

If you are a passionate Data Scientist Or MLE with a strong background in machine learning and a desire to make a significant impact with your analytical skills, we would love to hear from you. Join our team and be a part of pushing data-driven decision-making at Riskified.

Life at Riskified

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!

Some of our Tel Aviv Benefits & Perks:

• 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, full access to Udemy, lunch & learns
• Awesome Riskified gifts and swag!

In the News

Geektime: Riskified Goes Public

Walla!: Happy Hour at the Riskified Offices

Geektime Insider: A look at Riskified Tel Aviv

Globes: Riskified to contribute the highest amount up to date to Tmura

Globes: Riskified is among Israel’s fastest growing companies

TechCrunch: Riskified Prevents Fraud on Your Favorite E-commerce Site

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.