Senior Level Research Data Scientist Jobs
Senior level research data scientist jobs place experienced scientists in charge of research direction, experimental design at scale, and the cross-functional teams or projects that turn findings into deployed models. Openings concentrate across Technology & Software, Science & Research, and Electronics & Hardware, with 34% remote or hybrid availability, and employers like Google, Palo Alto Networks, and Apple hiring at this level now.
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Our Mission
At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place.
Who We Are
In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!
We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.Job Summary
Your Career
You will be part of the team that builds and delivers the threat detection capabilities powering Palo Alto Networks’ Advanced Threat Prevention (ATP). The ATP detection team is responsible for decoding network protocols, identifying applications, and detecting threats across our enterprise customers’ networks.
As a Principal Security Researcher, you will play a key technical leadership role in shaping how ATP detects and prevents real-world attacks. You will propose and drive innovative technical ideas from concept to production, own multiple projects or a broader technical area with measurable impact, and provide technical leadership to other researchers or developers. This is a hands-on leadership role: you are expected to define direction, make technical decisions, and contribute directly to vulnerability research, exploit analysis, and production detection work.
Your Impact
Shape ATP detection strategy by identifying important vulnerability, exploit, and attack technique areas where new or improved protections are needed.
Drive innovative detection ideas from concept to production, delivering measurable improvements in coverage, quality, speed, or scalability.
Improve rapid response capability for zero-days, high-impact CVEs, and emerging attack vectors by guiding technical assessment, detection strategy, and release decisions.
Raise the quality and consistency of IPS protections by defining detection approaches, validation expectations, and technical review standards for complex cases.
Expand the team’s ability to deliver protections at scale through practical automation, detection pipeline improvements, and AI-assisted research workflows.
Provide hands-on technical leadership to researchers or developers through direction, review, problem decomposition, and execution guidance.
Influence cross-functional decisions with product, QA, engineering, and research partners to ensure detections are technically sound, customer-relevant, and production-ready.
Qualifications
Deep hands-on experience in vulnerability research, exploit analysis, IPS/IDS detection, offensive security, or closely related threat prevention work.
Proven ability to identify important technical problems, propose detection ideas, drive execution, and deliver measurable product or customer impact.
Deep understanding of common vulnerability classes and exploit techniques, including memory corruption, injection, authentication bypass, path traversal, SSRF, RCE, XSS, SQL injection, CSRF, MITM, and DoS.
Strong ability to analyze vulnerability root cause, exploitability, PoC behavior, network traffic, protocol behavior, application-layer attack patterns, and detection tradeoffs.
Experience translating vulnerability or exploit understanding into production-quality IPS signatures, IDS detections, network detections, or other customer-facing protections.
Strong understanding of network protocols and application-layer behavior, especially HTTP, DNS, SMB, FTP, SMTP, TCP/UDP, TLS, and related protocols.
Strong programming or scripting skills for research automation, tooling, test generation, detection development, or pipeline improvements.
Ability to lead complex technical work under ambiguity, guide other researchers or developers, and make sound technical decisions under time pressure.
Experience using AI, ML, automation, or research tooling to improve security analysis, detection development, validation, or response workflows is highly desirable.
Foundational understanding of AI security scenarios or AI-assisted security workflows is a plus.
Strong communication skills with the ability to influence technical direction across research, product, QA, and engineering partners.
BS/MS in Computer Science, Computer Engineering, Cybersecurity, or related field, or equivalent professional experience.
Compensation Disclosure
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus.
$162,700.00 - $263,175.00/yrOur Commitment
We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.
We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com.
Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
All your information will be kept confidential according to EEO guidelines.
Is role eligible for Immigration Sponsorship?: YesOur Mission
At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place.
Who We Are
In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!
We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.Job Summary
Your Career
You will be part of the team that builds and delivers the threat detection capabilities powering Palo Alto Networks’ Advanced Threat Prevention (ATP). The ATP detection team is responsible for decoding network protocols, identifying applications, and detecting threats across our enterprise customers’ networks.
As a Principal Security Researcher, you will play a key technical leadership role in shaping how ATP detects and prevents real-world attacks. You will propose and drive innovative technical ideas from concept to production, own multiple projects or a broader technical area with measurable impact, and provide technical leadership to other researchers or developers. This is a hands-on leadership role: you are expected to define direction, make technical decisions, and contribute directly to vulnerability research, exploit analysis, and production detection work.
Your Impact
Shape ATP detection strategy by identifying important vulnerability, exploit, and attack technique areas where new or improved protections are needed.
Drive innovative detection ideas from concept to production, delivering measurable improvements in coverage, quality, speed, or scalability.
Improve rapid response capability for zero-days, high-impact CVEs, and emerging attack vectors by guiding technical assessment, detection strategy, and release decisions.
Raise the quality and consistency of IPS protections by defining detection approaches, validation expectations, and technical review standards for complex cases.
Expand the team’s ability to deliver protections at scale through practical automation, detection pipeline improvements, and AI-assisted research workflows.
Provide hands-on technical leadership to researchers or developers through direction, review, problem decomposition, and execution guidance.
Influence cross-functional decisions with product, QA, engineering, and research partners to ensure detections are technically sound, customer-relevant, and production-ready.
Qualifications
Deep hands-on experience in vulnerability research, exploit analysis, IPS/IDS detection, offensive security, or closely related threat prevention work.
Proven ability to identify important technical problems, propose detection ideas, drive execution, and deliver measurable product or customer impact.
Deep understanding of common vulnerability classes and exploit techniques, including memory corruption, injection, authentication bypass, path traversal, SSRF, RCE, XSS, SQL injection, CSRF, MITM, and DoS.
Strong ability to analyze vulnerability root cause, exploitability, PoC behavior, network traffic, protocol behavior, application-layer attack patterns, and detection tradeoffs.
Experience translating vulnerability or exploit understanding into production-quality IPS signatures, IDS detections, network detections, or other customer-facing protections.
Strong understanding of network protocols and application-layer behavior, especially HTTP, DNS, SMB, FTP, SMTP, TCP/UDP, TLS, and related protocols.
Strong programming or scripting skills for research automation, tooling, test generation, detection development, or pipeline improvements.
Ability to lead complex technical work under ambiguity, guide other researchers or developers, and make sound technical decisions under time pressure.
Experience using AI, ML, automation, or research tooling to improve security analysis, detection development, validation, or response workflows is highly desirable.
Foundational understanding of AI security scenarios or AI-assisted security workflows is a plus.
Strong communication skills with the ability to influence technical direction across research, product, QA, and engineering partners.
BS/MS in Computer Science, Computer Engineering, Cybersecurity, or related field, or equivalent professional experience.
Compensation Disclosure
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus.
$162,700.00 - $263,175.00/yrOur Commitment
We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.
We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com.
Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
All your information will be kept confidential according to EEO guidelines.
Is role eligible for Immigration Sponsorship?: YesSee All 96 Senior Level Research Data Scientist Jobs
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Find JobsSenior Level Research Data Scientist Job Market
Who's Hiring
- Google8
- Palo Alto Networks8
- Apple7
- The Clear Fund6
- NVIDIA4
Top Industries Hiring
- Technology & Software44
- Science & Research12
- Electronics & Hardware8
- Artificial Intelligence8
- Media & Entertainment7
Senior Level Research Data Scientist Jobs: Frequently Asked Questions
How do I get a senior level research data scientist job?
Senior level research data scientist roles go to candidates who can demonstrate end-to-end ownership of research problems, not just execution of assigned tasks. Employers look for evidence of independently scoped projects, published or deployed work that influenced product or policy decisions, and experience guiding junior scientists. A portfolio showing original contributions to modeling methodology or research infrastructure gives candidates a clear edge at this stage.
Which companies hire senior level research data scientists?
Companies hiring senior level research data scientists right now include Google, Palo Alto Networks, and Apple, based on current listings on Migrate Mate as of July 2026. Hiring at this level is concentrated among technology firms, biotech and pharmaceutical companies, financial services organizations, and research-intensive enterprises that maintain in-house science teams working on long-horizon problems.
Are there remote senior level research data scientist jobs?
Yes, remote and hybrid flexibility is common at the senior level. About 34% of senior level research data scientist openings are remote or hybrid as of July 2026, reflecting the independent, output-driven nature of senior research work. Fully on-site roles still exist, particularly in lab-adjacent settings where collaborative experiments or proprietary data environments require physical presence.
What makes a research data scientist role senior level?
A senior level research data scientist is expected to define the problem as much as solve it, setting the research agenda rather than receiving assignments. The role carries ownership over methodology choices, technical standards, and the quality of outputs delivered to stakeholders. Senior researchers also mentor junior team members, contribute to hiring and team structure decisions, and translate ambiguous business or scientific questions into rigorous, executable research plans.
Which industries hire the most senior level research data scientists?
Senior Level research data scientist roles concentrate in Technology & Software, Science & Research, and Electronics & Hardware, based on current listings on Migrate Mate as of July 2026. These sectors drive hiring at this level because they operate at the frontier of applied and foundational research, requiring scientists who can independently own complex, multi-stage projects rather than contribute to narrowly scoped pipelines.