Data Scientist

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 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 plays a pivotal role in our company, generating value to Riskified by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more).

As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner.

Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making.

Sc is a plus) in Computer Science, Mathematics, Statistics, or a related field 3+ years of proven experience designing and implementing machine learning algorithms and successfully deploying them to production. Strong understanding and practical experience with various machine learning algorithms.

, Pandas, NumPy) to extract, clean, and transform data for analysis Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions Proficiency in data visualization libraries, to create meaningful visual representations of complex data Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment Advantages: Experience in the fraud domain Experience with Airflow, CircleCI, PySpark, Docker and K8S 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. , work-from-home equipment, gym membership, wellbeing activities, and more.

Wellness program Celebrations and activities Team events Happy hours Awesome Riskified gifts and swags Volunteer programs Personal development Global onboarding Role-based technical skills training Full access to Udemy In the News C-Tech: We need to find the balance between leveraging innovative AI solutions and using them cautiously Built In: How We Built This: A Riskified Technologist Unpacks The Company’s Beacon Technology Globes: Riskified is among Israel’s fastest growing companies Yahoo: Riskified Earns "Top Rated" Award Across Four TrustRadius Solution Categories 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.