Riskified Published: April 3, 2019
Job Type
Level of education
Undergraduate
Spoken Language needed
English
Level of Hebrew
Medium
Location of job
Tel Aviv/ Ramat Gan
How many relevant years experience do you require for the role:
1 year

Description

The Data Science & Analytics team is comprised of domain experts with a high level of experience in machine learning data analysis & data visualisation. As a member of our team, you’ll solve complex problems and improve Riskified’s products’ performance using data analysis and machine learning techniques.

What You'll Be Doing
- Work on machine learning projects including feature engineering, model training, and validations to Improve our fraud detection algorithms
- Define and track KPIs to measure improvements in the models
- Master the online fraud prevention domain through hands-on analysis of live data with our in-house analysis tools
- Work with the Operations team to identify shortcomings in our system and find solutions in the form of improved models and supporting mechanisms

Requirements

- Bachelor's degree - preferably in a highly-quantitative field (e.g. mathematics, statistics, computer science)
- Proficient in SQL (1-2 years of hands-on experience)
- Proficient in R / Python - functions creation, data wrangling, reporting (at least 1 year of hands-on experience)
- Hands on experience with tidyverse R packages or with the Python pandas package - advantage
- Background in statistics / mathematics - advantage
- Working experience with using machine learning tools & algorithms - advantage
- High level of English, including experience in writing research reports and summaries
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