Senior Data Scientist
Taboola - Los Angeles, California, United States
Posted Jun 3, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
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- Salary
- Not verified not verified - source not recorded; timestamp not recorded
- 401(k) match
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Market context
- Median wage (BLS OEWS)
- $111,944 national median
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
46% above the BLS national median for data and ml aggregate.
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Senior Data Scientist Los Angeles, California, United States Realize your potential by joining the leading performance-driven advertising company and a proud Great Place to Work® Certified employer in the US As a Data Scientist on Taboola's R&D Team in Downtown Los Angeles, utilizing some of the latest technology and tools, you will work on the recommendation and ranking algorithms that drive Realize - Taboola's performance advertising platform serving 600M+ daily active users - and building agentic AI systems alongside it. The models you build directly influence campaign performance and revenue outcomes for advertisers worldwide. To thrive in this role, you'll need: - 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 - Proficiency with ML frameworks (e.g., PyTorch, Tensorflow, Spark MLlib) - 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) Bonus points if you have:
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