Senior Data Scientist

Posted 2 Hours Ago
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Los Angeles, CA, USA
Hybrid
139K-188K Annually
Senior level
AdTech • Big Data • Digital Media • Marketing Tech
Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social.
The Role
As a Senior Data Scientist, you'll design recommendation algorithms, build predictive models, and maintain ML systems to improve advertising performance.
Summary Generated by Built In

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:

  • Experience with recommendation systems, ranking algorithms, or personalization at scale
  • Familiarity with real-time ML and large-scale data mining

How you’ll make an impact:

  • Design and build predictive customer behavior models for targeting and personalization
  • Implement the applicable Machine Learning or statistics based algorithm 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

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

  • Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.”
  • Well-being: Enjoy comprehensive benefits (health, dental, vision, 401k matching), a fully stocked kitchen and parking.
  • Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
  • Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, and Expedia.

Ready to realize your potential?

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.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

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.


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#LI-Hybrid

The pay offered may vary depending on several factors such as location, job-related knowledge, skills, and experience. We may offer several perks as part of the compensation package that include a discretionary bonus, equity, flexible PTO, medical/dental/vision insurance, a competitive 401(k) match, paid parental leave, and more. 

Base Salary Pay Range
$138,500$188,000 USD

Skills Required

  • Master's degree or Ph.D in Computer Science, Electrical Engineering, Physics, or related field
  • 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
  • Experience taking end-to-end ownership of ML systems
  • Experience building automated evaluation harnesses and test frameworks for ML systems

What the Team is Saying

Victor
Adam
Daniela
Esra
Ari
Ceci
Tanya
Giulliana
Sam
Alessandro
Jessica
Sarahjean (SJ)
Yannis
Melissa

Taboola Compensation & Benefits Highlights

  • Parental & Family Support Primary caregivers receive 26 weeks of paid leave in the U.S., with secondary caregivers also receiving paid leave and options like phased return-to-work. Adoption assistance and family-focused programs further reinforce support for caregivers.
  • Leave & Time Off Breadth Flexible/unlimited PTO in U.S. offices and observance of most federal holidays are offered, alongside hybrid work with several remote days per week. This combination signals strong flexibility around time away and work location.
  • Retirement Support A 401(k) with a company match of 50% up to the first 6% of contributions is explicitly offered in the U.S. This establishes clear employer-supported retirement savings as part of total rewards.

Taboola Insights

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The Company
HQ: New York, NY
1,900 Employees
Year Founded: 2006

What We Do

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.

Why Work With Us

Taboola is the best of both worlds: We're an established public company but operate like a startup! You're encouraged to express opinions and challenge the status quo. Employees constantly come together to support each other's wins, from leadership development programs and wellness offerings to catered lunches and celebratory diversity events.

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Taboola Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Taboola offers flexibility and the ability to work remotely two days a week with three days in-office.

Typical time on-site: 3 days a week
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