
Director Data Science
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine Learning, NLP, Recommender Systems, Predictive Modeling, Big Data, optimizations, Complex analytical and statistical solutions. Python software developer and SQL expert.
Ben-Gurion University of the Negev
Master’s Degree, Information System Engineering
January 1, 2010 – January 1, 2012
Ben-Gurion University of the Negev
Bachelor of Science (BSc), Information System Engineering
January 1, 2007 – January 1, 2011
Dream
Director of Data Science
February 1, 2025 – Present
Israel
Bold Analytics
Director Data Science
November 1, 2022 – February 1, 2025
Herzliya, Tel Aviv District, Israel
NSO Group
Data Science Team Lead
May 1, 2019 – November 1, 2022
Israel
Mintigo
Data Scientist and Machine Learning Expert
April 1, 2016 – May 1, 2019
myThings
Data Mining Expert
January 1, 2013 – January 1, 2016
Tel Aviv Area, Israel
Microsoft
Data Mining Researcher
January 1, 2012 – January 1, 2013
Herzliya Area, Israel
Deutsche Telekom Laboratories at Ben Gurion University
Researcher
January 1, 2010 – January 1, 2011
Ben-Gurion University of the Negev
Teaching Assistant
January 1, 2010 – January 1, 2011
Cultural Fit Analysis
The candidate has a consistent career path in data science and machine learning across various companies, including a large tech company (Microsoft) and startups. The progression from Data Mining Expert to Director of Data Science indicates ambition and growth. The project descriptions suggest a focus on practical application of ML to business problems. The target role of Machine Learning aligns well with the candidate's extensive experience. However, without information on company culture or specific team dynamics, a deeper cultural fit analysis is not possible.
Soft Skills & Operational Fit
The candidate's resume indicates leadership experience (Director, Team Lead, leading projects) and coordination skills. The descriptions also suggest strong analytical skills, business understanding, and problem-solving abilities. However, without specific psychometric test results or interview data, a detailed assessment of soft skills and operational fit is limited.