Data Science Researcher (Part-Time 25%)
Rubrik - Tel Aviv, Israel
Posted Jan 29, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 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
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
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Data Science Researcher (Part-Time 25%) Tel Aviv, Israel Data Science Researcher (Part-Time 25%) Team: Data Research Team Time Commitment: 25% (approx. 1 day a week) Location: Tel Aviv, Israel About the Role We are seeking an advanced PhD Candidate to join our Data Research team as a part-time researcher and subject matter expert. The core team is responsible for building and shipping data science algorithms for Rubrik's product line, with a special emphasis on Cyber Security. We are opening this specialized role to tackle longer-term, high-complexity research initiatives that require deep academic rigor. You will focus on bringing State-of-the-Art methodologies, with an emphasis in LLMs and Advanced NLP, into our ecosystem. This role is designed for a researcher who is "hands-on." We value deep theoretical knowledge, but we require the ability to translate that theory into productive, working code within a limited timeframe. What you'll be doing - Long-Horizon Research: Lead specific, deep-dive research initiatives that require advanced methodology (e.g., novel anomaly detection architectures or LLM-based reasoning for security threats) without the pressure of daily sprint cycles. - LLM Innovation: Design and prototype advanced LLM workflows (RAG, Agents, Fine-tuning) to solve specific security challenges that standard APIs cannot handle. - Academic-to-Industry Bridge: Act as a knowledge hub for the team; bring SOTA academic concepts, recent paper findings, and novel techniques into the team's toolkit. - High-Impact Prototyping: Build functional Proofs of Concept (POCs) that the full-time engineering team can eventually operationalize. Qualifications Required: - Current enrollment in a PhD program
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