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“The future depends on what you do today.”
– Mahatma Gandhi

Deep learning research engineer

Tel Aviv · Full-time

About The Position

Responsibilities:

● 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.

Requirements


● 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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