Senior Data Scientist-2
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You'll architect and deploy machine learning models—including graph neural networks, transformers, and deep tabular architectures—to advance the Identity Graph Engine and solve entity resolution and fraud prevention at scale. This staff-level role requires 6+ years building production machine learning systems, deep expertise with modern neural architectures and distributed data processing, and proven technical leadership. You'll mentor senior data scientists, set research direction, and collaborate across engineering and product teams. Based in Tel Aviv with hybrid remote and in-office work.
Written from this posting by Neural Jobs AI. The full description is below.
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.
The Data Science department powers Riskified’s core engine by building production-grade algorithmic solutions at immense scale. As a Staff Data Scientist on the Identity team, you will drive the innovation roadmap for our Identity Graph Engine. You will architect, research, and deploy state-of-the-art machine learning models - spanning graph neural networks, transformers, and deep tabular architectures - to solve complex entity resolution and fraud prevention challenges at scale.
Advantages
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:
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.
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Riskified uses machine learning to approve or decline ecommerce transactions in real time, modelling fraud risk across a network of merchants rather than one shop at a time.
Founded in Tel Aviv in 2013, its systems make automated decisions on billions of dollars of orders.
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