SafeRide Published: June 20, 2020
Job Type
Level of education
Spoken Language needed
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


- Work with large, complex datasets of various vehicular subsystems; solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverable and presentations.
- Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive understanding of vehicular systems and data and offer security-focused insights regarding anomalies in the data sets.


- B.Sc. degree in a quantitative discipline (e.g., statistics, bioinformatics, economics, computer science, mathematics, physics, electrical engineering, industrial engineering) or equivalent practical experience.
- 5 years of relevant work experience in data analysis or related field (e.g., as a statistician / data scientist).
- Experience with statistical software (e.g., R, Python, MATLAB) and database languages (e.g., SQL).
- Independent self-starter and team player
- Passionate about constantly learning new skills in a fast-paced environment

Preferred qualifications
- M.Sc/PhD degree in a quantitative discipline
- 8 years of directly relevant, tech industry work experience, including deep expertise and experience with statistical data analysis such as linear models, multivariate analysis, deep learning, Bayesian inference.
- Applied experience with machine learning and deep learning on very large data sets.
- Experience articulating cyber security goals and using mathematical techniques to arrive at an answer using available data. Experience translating analysis results into actionable information.
- Demonstrated skills in selecting the right statistical tools given a data analysis problem. Demonstrated effective written and verbal communication skills.
- Competitive Programmer or Competitive Data Scientist
- Knowledge of scalable data visualization techniques
- Ability to create prototypes quickly
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