Riskified Published: March 18, 2021
Job Type
Level of education
Level of Hebrew
Location of job
Tel Aviv/ Ramat Gan
How many relevant years experience do you require for the role:
More than 3 years


Riskified is the AI platform powering the eCommerce revolution. We use cutting-edge technology, machine-learning algorithms, and behavioral analytics to identify legitimate customers and keep them moving toward checkout. Merchants use Riskified to increase revenue, prevent fraud, and eliminate customer friction. Riskified has reviewed hundreds of millions of transactions and approved billions of dollars of revenue for merchants across virtually all industries, including Wish, Prada, Aldo, Finish Line, and many more. We're privately funded and VC backed, and our recent Series E round raised $165 million with a valuation in excess of $1 billion.

About the Role

The Research and Data Science department is focused on bringing value to Riskified through the development of algorithms and analytical solutions. As a data scientist in the research department, you will be a valuable member of an innovative and technical data science team working on various problems. The department uses a wide variety of 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)."

The Decision Optimization team is responsible for the Research behind many of Riskified’s new offerings in addition to providing full global optimization of the company's decision funnel. The start-up-like team uses versatile methods (such as classification, time-series, NLP, online-experimentation, etc.) to optimize each product in it’s own unique way. We work in big-data settings (e.g. spark, kafka, etc.) using state-of-the-art environments (databricks). We are responsible for the design, research and development of these tools, hence part of our work includes writing production code.

We are looking for a Data Scientist, with a strong background in modeling and model evaluation. Experience with graph theory, NLP, time-series and anomaly detection is a big advantage.

What You'll Be Doing
- Design algorithms to challenge problems with off-the-shelf and custom-made models
- Evaluate these models in an off-line and online settings
- Work with Riskified’s Research Analysts to evaluate the solution’s requirements and the algorithm’s impact
- Collaborate with various teams within Riskified to enhance processes and expedite model development life-cycles


- At least 4 years of experience as a Data Scientist in the industry in versatile settings (classification, regression, clustering, time-series, NLP etc.)
- M.Sc/Ph.D. in exact sciences
- Ability to write clean and concise code, ideally in R and Python
- Creative thinker with a proven ability to innovate through data exploration and application of advanced solutions
- Solid understanding of the modeling process and experienced with data science best-practices
- Dedication and persistence when it comes to monitoring and improving performance after deployment
- Good communication skills, ability to clearly explain complex concepts
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