Senior Data Scientist at Taboola | CA, US | Rezi

Senior Data Scientist at Taboola

Senior Data Scientist

Taboola · CA, US

1 months ago

Senior Data Scientist

Taboola · CA, US

a month ago
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About the Role

As a Data Scientist on Taboola’s R&D Team in Downtown Los Angeles, you will work on the recommendation and ranking algorithms that drive Taboola's performance advertising platform serving 600M+ daily active users and building agentic AI systems. The models you build directly influence campaign performance and revenue outcomes for advertisers worldwide.

Responsibilities

  • Design and build predictive customer behavior models for targeting and personalization
  • Implement applicable Machine Learning or statistics based algorithms for prediction and optimization and deliver the trained model to production
  • Take end-to-end ownership: design, build, ship, measure, and maintain models and the services around them—rapidly prototyping and delivering complete projects/products using AI-assisted “vibe coding” workflows
  • Act as a Harness Engineer: build the evaluation harnesses, automated testing frameworks, benchmarks, and guardrails that let the team experiment, measure model quality, and ship AI/ML systems safely and repeatedly, following a TDD process
  • Present findings to the product team and technical team leads in a clear and actionable way
  • Build and maintain code to populate HDFS, Hadoop with log from Kafka or data loaded from SQL production systems
  • Design, build and support algorithms of data transformation, conversion, computation on Hadoop, Spark and other distributed Big Data Systems

Requirements

  • Master’s degree or Ph.D, ideally in Computer Science, Electrical Engineering, Physics, Computational Economics, or similar
  • 5+ years of hands-on experience in Python and Java
  • SQL proficiency for data exploration and analysis
  • System-architecture mindset — ability to design scalable, reliable, high-performance systems and reason about how a model fits into the larger data and serving infrastructure
  • Experience taking end-to-end ownership of ML systems: design, build, ship, measure, and maintain — using AI-assisted “vibe coding” tools (e.g., Cursor, Claude, GitHub Copilot)
  • Experience building automated evaluation harnesses and test frameworks for ML systems — defining benchmarks, baselines, and guardrails that let a team ship confidently and repeatedly
  • Ability to communicate technical findings clearly, and to collaborate effectively across teams (including early morning or evening syncs with our Tel Aviv team)

Skills

  • Python
  • Java
  • ML frameworks (e.g., PyTorch, Tensorflow, Spark MLlib)
  • SQL
  • Recommendation systems
  • Ranking algorithms
  • Personalization at scale
  • Real-time ML
  • Large-scale data mining
  • HDFS
  • Hadoop
  • Kafka
  • Spark

Location

  • Downtown Los Angeles

Work Type

  • Hybrid

Experience Level

  • 5+ years

Education Level

  • Master’s degree or Ph.D

Salary/Compensations

  • $138,500—$185,000 USD

Benefits

  • Comprehensive benefits (health, dental, vision, 401k matching)
  • Fully stocked kitchen
  • Parking
  • Discretionary bonus
  • Equity
  • Flexible PTO
  • Paid parental leave

About the Company

  • Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.
  • Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world.
  • Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

Equal Opportunity

  • Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.