We are looking for a skilled data scientist with proven experience (at least 2
years of hands-on Python development of ML models that were used in live,
working solutions), that can lead a data science project from idea, through
feature selection and scoring, model selection and validation and up-to
release for production, with knowledge in data analytics (SQL queries and
relational and noSQL Databases) and software engineering (recommended to know
Python, C#, JavaScript, TypeScript, SQL, micro-services, FireBase, pub-sub) to
define and build solutions for analyzing and detecting behavioral anomalies in
data collected from different data-sources using ML and big data best
practices. We also require the ability to research academic publications and
industrial solutions for anomaly detection.
years of hands-on Python development of ML models that were used in live,
working solutions), that can lead a data science project from idea, through
feature selection and scoring, model selection and validation and up-to
release for production, with knowledge in data analytics (SQL queries and
relational and noSQL Databases) and software engineering (recommended to know
Python, C#, JavaScript, TypeScript, SQL, micro-services, FireBase, pub-sub) to
define and build solutions for analyzing and detecting behavioral anomalies in
data collected from different data-sources using ML and big data best
practices. We also require the ability to research academic publications and
industrial solutions for anomaly detection.
Due to periodically, face 2 face meetings, We require that the applicant will
be an Israeli citizen living in the northern or center parts of Israel
