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Data Science Team Lead at Taboola | Israel

TaboolaIsrael
Hybrid Full-time

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Experience Level

Manager

Qualifications

Key Qualifications:Advanced academic degree (MSc/PhD) with a solid foundation in machine learning, optimization, and statistical modeling. Over 6 years of robust experience in machine learning modeling. Proven track record in production-grade ML engineering. Demonstrated managerial or technical leadership capabilities. Experience in driving measurable business results through modeling initiatives. Familiarity with agent-based coding tools to streamline development, experimentation, and maintain code quality in ML systems. Preferred Qualifications:Experience with large-scale recommendation systems.

About the job

Unlock your potential by joining a performance-driven leader in advertising!

As a Data Science Team Lead within the advertiser-focused machine learning group at our Tel Aviv office, you will be instrumental in redefining user intent modeling at scale. You will spearhead the development and refinement of large-scale deep learning models that enhance both advertiser performance and marketplace efficiency. By mentoring team members and steering technical initiatives, you'll transform modeling challenges into scalable production solutions, impacting millions of users as they discover content and enabling advertisers to achieve significant outcomes.

About Taboola

At Taboola, employees express their satisfaction in being empowered to reach their full potential while collaborating and learning from a diverse group of intelligent and talented individuals. Our culture is unique and cannot be replicated, as stated by our founder and CEO, Adam Singolda: “You can copy anything from another business but you can’t copy a company’s culture.”We offer a comprehensive benefits package, including health coverage, a fully stocked kitchen, and location-specific perks such as gym partnerships and parking. Enjoy the flexibility of a hybrid work schedule, with three days in the office and the option to come in more frequently if desired.

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