Riskified Published: October 9, 2020
Job Type
Category
Level of education
Masters
Level of Hebrew
Medium
Location of job
Tel Aviv/ Ramat Gan
How many relevant years experience do you require for the role:
2 years

Description

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 a number of Fortune 500 companies. Our customers include Wish, Prada, Aldo, Finish Line, and more.

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 Customer Trust team is responsible for the models and algorithm behind Riskified's customer focused products. Since these are newer domains for Riskified, the team works in a very agile environment, with quicker expectations for results and a major ability to influence the future roadmap of these initiatives.

Data scientists in the team use a wide variety of advanced techniques to provide maximum value from data in all shapes and sizes (such as classification models, graph theory and more).

What You'll Be Doing
- Help design Riskified’s new products around the Customer Trust domain: from label inference to set generations, feature engineering and model assessment, all through big data analysis
- Play a key role in planning the roadmap for our products and drive forward complex innovative research
- Conduct research on prominent blindspots with the freedom to come up with cutting-edge solutions and planning their implementation
- Take part in designing an identity resolution product, using applied network science techniques
- Design algorithms to some of our most challenging problems
- Gather domain knowledge to model fraud detection inference and prediction
- Collaborate with various teams within Riskified to enhance processes and expedite model development life-cycles

Requirements

- Solid background in graph theory and applied network science
- Cybersecurity background - an advantage
- At least 2 years experience as a Data Scientist in the industry
- M.Sc/Ph.D in exact sciences
- Ability to write clean and concise code, ideally in R or Python
- Creative thinker with a proven ability to innovate through data exploration and application of non-trivial solutions
- Solid understanding of statistics and applied mathematics
- 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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