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Data Science Group Manager Job Opening In Los Angeles – Now Hiring Taboola


Job description

Realize your potential by joining the leading performance-driven advertising company!

As an R&D Group Manager in our Los Angeles office, you’ll play a vital role in leading multiple teams in the development of AI-driven products and services within our platforms.

You’ll set technical direction for large-scale recommendation systems, personalization models, content understanding, and LLM-powered agent technologies—building scalable, intelligent solutions that enhance our platform’s performance, user experience, and business value.

This is a leadership role that blends technical vision with organizational impact, working closely with cross-functional stakeholders across Product, Marketing, Frontend, Backend, Policy, Professional Services, and Operations to ensure alignment with overall company goals.


To thrive in this role, you’ll need:

  • 6+ years of hands-on experience in data science and machine learning, with at least 3+ years in a managerial role overseeing multiple teams or managers.

  • Proven track record of managing complex, large-scale R&D projects in a tech-driven environment, preferably within an online platform or SaaS company.

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

  • Strong understanding of backend architectures (e.g., microservices, distributed systems) and data science principles (e.g., data analytics, machine learning, generative AI (LLMs), big data processing).

  • Familiarity with cloud platforms, data pipelines, and deployment best practices

  • Proficiency in Agile or similar project management methodologies, with a history of managing resources, timelines, and project risks effectively.

  • Ability to align team goals with broader business objectives and make decisions that impact long-term outcomes.
  • Bonus points if you have:

  • for recommendation systems, search, or ads

  • Knowledge of data privacy, security, and compliance in relation to online platforms.
  • How you’ll make an impact:


    AI-Driven Leadership: Champion an AI-first approach by integrating LLMs, code generation, simulations, and automation into all stages of development.

    Build AI-augmented teams trained to use these tools for faster prototyping, iteration, and decision-making.

  • Team Management & Development: Lead multiple R&D teams, providing mentorship and career development for engineers and data scientists.

    Cultivate an inclusive, collaborative, and high-performing culture.

  • Project & Resource Management: Manage planning and execution of complex R&D projects.

    Apply project management best practices to ensure timely delivery aligned with company priorities.

  • Cross-functional Collaboration: Partner closely with Product, Frontend, Backend, Policy, and Professional Services and other departments to ensure alignment and successful integration of development work with broader business initiatives.

  • Applied AI & Recommendation Systems: Drive development of large-scale recommendation systems, including candidate generation, retrieval, ranking, and post-ranking techniques (e.g., diversity, fairness, pacing, deduplication).

    Lead design and deployment of LLM-powered agents for creative review, content moderation, developer productivity, and services automation.

  • Technical Oversight & Infrastructure: Set technical vision across backend and data science workstreams.

    Define and monitor performance metrics (CTR, CVR, RPM, calibration, recall@k).

    Oversee experimentation frameworks (A/B, interleaving) and guide ML infrastructure including model pipelines, feature stores, embedding services, vector search, and low-latency model serving.

    Ensure solutions are scalable, reliable, cost-effective, and incorporate emerging advancements in AI and infrastructure.

  • Strategic Planning & Execution:Collaborate with senior leadership to shape the R&D roadmap, prioritize innovation opportunities, and ensure technical capabilities align with company growth objectives.
  • Required Skill Profession

    Mathematical Science Occupations


    • Job Details

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    Unlock Your Data Science Potential: Insight & Career Growth Guide


    Real-time Data Science Jobs Trends (Graphical Representation)

    Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Science in Los Angeles, United States, highlighting market share and opportunities for professionals in Data Science roles.

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    Are You Looking for Data Science Group Manager Job?

    Great news! is currently hiring and seeking a Data Science Group Manager to join their team. Feel free to download the job details.

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    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Taboola adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying United States laws and regulations

    What Is the Average Salary Range for Data Science Group Manager Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Los Angeles. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

    What Are the Key Qualifications for Data Science Group Manager?

    Key qualifications for Data Science Group Manager typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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    Interview Tips for Data Science Group Manager Job Success

    Taboola interview tips for Data Science Group Manager

    Here are some tips to help you prepare for and ace your Data Science Group Manager job interview:

    Before the Interview:

    Research: Learn about the Taboola's mission, values, products, and the specific job requirements and get further information about

    Other Openings

    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

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    Be Punctual: Arrive on time to demonstrate professionalism and respect.

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    Final Thought:

    To prepare for your Data Science Group Manager interview at Taboola, research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Taboola's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

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