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.
About the Role
The Data Science department powers Riskified’s core value engine by building scalable, production-grade ML solutions that protect revenue and automate complex decisions. We leverage diverse analytical techniques - from advanced statistical modeling and graph theory to classic machine learning and deep learning - to extract maximum signal from complex datasets.
As a Data Scientist, you will own projects end-to-end: framing business problems, developing models, and deploying them to production. This role demands strong quantitative fundamentals, deep machine learning expertise, and a pragmatic problem-solving mindset to translate raw data into real business impact.
What You'll Be Doing- End-to-End ML Development: Design, train, evaluate, and optimize scalable predictive models (classification, regression, clustering, deep learning) for complex business challenges.
- Data & Feature Engineering: Clean, transform, and extract high-value features from large-scale structured and unstructured data to continuously boost model performance.
- Collaboration & Production: Work within the Data Science team and alongside Data Engineers, Developers, and Product Managers to deploy models into production and translate complex insights into clear business actions.
- Innovation & GenAI: Continuously explore emerging ML techniques, state-of-the-art tools, and GenAI workflows to elevate the team's analytical capability.
- M.Sc. in Computer Science, Electrical Engineering, or a related quantitative field.
- 2+ years of industry experience developing and deploying machine learning models in production environments.
- Deep theoretical understanding and practical experience of ML algorithms on tabular and structured data.
- Proactive team player with a strong curiosity and enthusiasm for adopting modern GenAI developer tools.
- Proficiency in Python, SQL, and standard ML frameworks.
- Strong hypothesis-driven problem-solving skills.
- Excellent communication skills, with the ability to explain complex quantitative concepts to non-technical stakeholders.
- Direct experience in risk management, e-commerce fraud detection, or fintech domains.Excellent communication skills, with the ability to explain complex quantitative concepts to non-technical stakeholders- Advantage
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.
Skills Required
- M.Sc. in Computer Science, Electrical Engineering, or a related quantitative field
- 2+ years of industry experience developing and deploying machine learning models in production environments
- Deep theoretical and practical knowledge of machine learning algorithms for tabular and structured data
- Proficiency in Python, SQL, and standard machine learning frameworks
- Strong hypothesis-driven problem-solving skills
- Strong curiosity and enthusiasm for adopting modern GenAI developer tools
- Excellent communication skills and ability to explain quantitative concepts to nontechnical stakeholders
- Direct experience in risk management, ecommerce fraud detection, or fintech
What the Team is Saying
Riskified Compensation & Benefits Highlights
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Healthcare Strength — U.S. roles in New York advertise fully covered medical, dental, and vision insurance starting on day one. This immediate, comprehensive coverage is positioned as a core strength of the package.
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Equity Value & Accessibility — Equity is granted broadly to all employees, with some postings also highlighting an employee stock purchase plan. This broad access to ownership is presented as a standard part of total rewards.
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Leave & Time Off Breadth — Stated policies include 20 PTO days annually, 8 sick and mental‑health days, and twice‑yearly company‑wide recharge long weekends. These elements suggest a well‑rounded time‑off framework that supports rest and wellbeing.
Riskified Insights
What We Do
Riskified (NYSE:RSKD) empowers businesses to unleash ecommerce growth by outsmarting risk. 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 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.
Why Work With Us
Riskified empowers businesses to realize the full potential of eCommerce by making it safe, accessible, and frictionless. Our members are proud to work on products that provide innovative solutions to real-world problems. It’s an exciting and collaborative environment, and the company invests just as much in its employees as it does in its clients.
Gallery
Riskified Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Our hybrid policy allows employees to work both at home and in our office to provide flexibility and enhance collaboration amongst teams. Our NYC team works in a hybrid work model of 3 days in office and 2 days remote.
