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Senior NLP Researcher
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
As a Senior NLP Data Scientist at Citi, contributed to transformative projects leveraging over three years of machine learning and natural language processing expertise. Focused on developing transformer-based models to enhance intent understanding and entity extraction, enabling streamlined contract and support ticket processing. Pioneered LLM-based PDF analysis solutions, improving data accuracy and operational efficiency. Prior roles at Facebook and NICE Ltd further solidified expertise in advanced NLP techniques, including multimodal analysis and cross-lingual sentiment modeling. Proficient in generative AI, code review, and NLP libraries, with a mission to create impactful solutions in dynamic, high-pressure environments. Dedicated to advancing AI-driven innovation with a collaborative, problem-solving approach.
Ben-Gurion University of the Negev
M.Sc., Information Systems engineering
January 1, 2006 – January 1, 2009
Ben-Gurion University of the Negev
B.A, Economics, Software
January 1, 1997 – January 1, 2000
Citi
Senior NLP Data Scientist
December 1, 2021 – Present
Tel Aviv, Israel
NLP Research Scientist
March 1, 2021 – December 1, 2021
NICE Ltd
Senior Machine Learning/Natural Language Processing Researcher
May 1, 2016 – March 1, 2021
NICE Ltd
Senior Software & Algorithms Engineer in Text analytics research team
May 1, 2015 – May 1, 2016
SAP Labs
Software Engineer
November 1, 2010 – April 1, 2015
Raviv ACS LTD.
ERP manufacturing module owner & reports developer
January 1, 2010 – November 1, 2010
Amdocs
Automatic Testing Engineer (student position)
January 1, 2007 – January 1, 2008
Intel
Applications and Middleware Engineer
January 1, 2003 – January 1, 2006
Intel
Automation Engineering (Shop Floor Control)
January 1, 2000 – January 1, 2003
Cultural Fit Analysis
The candidate's career trajectory shows a consistent progression into specialized ML/NLP roles, indicating a clear passion and commitment to the field. The diversity of projects, from enterprise software at SAP to cutting-edge NLP research at Facebook and Citi, suggests an ability to thrive in different organizational cultures and tackle varied technical challenges. The long tenure at NICE Ltd (6 years across two roles) also points to loyalty and growth within an organization. The academic background further supports a culture of continuous learning and intellectual curiosity.
Soft Skills & Operational Fit
The candidate's extensive experience across various companies (Citi, Facebook, NICE, SAP, Intel) suggests adaptability and a strong work ethic. Descriptions of leading projects and working with diverse teams (DBAs, infrastructure experts, international peers) indicate strong collaboration and leadership potential. The focus on driving operational efficiency and improving user experience aligns with practical, results-oriented operational fit.