Time since we first saw it
Day 204
Up longer than most. Similar jobs usually come down between day 6 and day 69.
From 4,362 similar postings that came down. Coming down is not always a hire.
Applied Data Scientist Expert
Reads like a ML Engineer role: putting models into production.
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- Work authorization
- Must already have the right to work
Applicants must have the legal right to work in the country where the position is based,
- Eligibility
This role does not offer visa sponsorship. — eligibility source
Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship.
Read the full posting
What you’ll work on
Full postingLead applied research on AI agents and LLM-driven security features
Design, build and maintain production pipelines with engineering teams
Define research goals with Security Research and Product teams
Run experiments to evaluate AI models on real-world and simulated data
Apply cutting-edge AI methods to improve security solution accuracy and scale
From the employer’s posting
Lead applied research on AI agents and LLM-driven features in the Wiz platform
Collaborate with engineering teams to design, build, and maintain production pipelines.
Work closely with the Security Research and Product teams to define research goals.
Conduct experiments and evaluate the performance of AI models, algorithms, and techniques using real-world datasets and simulated environments.
Stay abreast of cutting-edge AI methodologies, frameworks, and tools and apply them to improve security solutions' accuracy, efficiency, and scalability.
What you’ll bring
All qualificationsCore experience
- 5+ years of experience in applied Data Science and AI engineering with significant hands-on work building LLM-based applications or AI agents.
- Hands-on experience building Autonomous Agent architectures (e.g., LangGraph, multi-agent workflows, tool-calling, and state machines) and implementing rigorous evaluation frameworks (Evals, LLM-as-a-judge, benchmark suites).
- Knowledge of programming languages that are used in AI research, such as Python, and experience with AI frameworks (e.g., Hugging Face, LangChain, OpenAI, scikit-learn, TensorFlow, PyTorch) with the ability to deliver production-ready code.
Preferred experience
- Experience in cybersecurity (cloud security, threat detection, investigation, or network telemetry).
- Experience with distributed cloud systems and hands-on familiarity with cloud-native architectures at scale.
- Strong knowledge of deep learning models and common model architecture such as transformer models.
- Excellent communication (both written and verbal) and presentation skills.
Qualification wording
5+ years of experience in applied Data Science and AI engineering with significant hands-on work building LLM-based applications or AI agents.
Hands-on experience building Autonomous Agent architectures (e.g., LangGraph, multi-agent workflows, tool-calling, and state machines) and implementing rigorous evaluation frameworks (Evals, LLM-as-a-judge, benchmark suites).
Knowledge of programming languages that are used in AI research, such as Python, and experience with AI frameworks (e.g., Hugging Face, LangChain, OpenAI, scikit-learn, TensorFlow, PyTorch) with the ability to deliver production-ready code.
Experience in cybersecurity (cloud security, threat detection, investigation, or network telemetry).
Experience with distributed cloud systems and hands-on familiarity with cloud-native architectures at scale.
Strong knowledge of deep learning models and common model architecture such as transformer models.
Excellent communication (both written and verbal) and presentation skills.
Education & alternatives
- Knowledge of programming languages that are used in AI research, such as Python, and experience with AI frameworks (e.g., Hugging Face, LangChain, OpenAI, scikit-learn, TensorFlow, PyTorch) with the ability to deliver production-ready code. - An M.S. or Ph.D. degree in computer science, statistics, or related field OR equivalent work experience. Preferred Qualifications
Posting record
Report an errorOpen 6 monthsWe first saw this posting 204 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Apr 14, 2026204 days ago
- Recorded sightings
- 287
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Wiz is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down quickly
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- Hugging Face
- PyTorch
- scikit-learn
- TensorFlow
Where the posting names them
- Hands-on experience building Autonomous Agent architectures (e.g., LangGraph, multi-agent workflows, tool-calling, and state machines) and implementing rigorous evaluation frameworks (Evals, LLM-as-a-judge, benchmark suites). - Knowledge of programming languages that are used in AI research, such as Python, and experience with AI frameworks (e.g., Hugging Face, LangChain, OpenAI, scikit-learn, TensorFlow, PyTorch) with the ability to deliver production-ready code. - An M.S. or Ph.D. degree in computer science, statistics, or related field OR equivalent work experience.
Your next step
Complete your application on www.wiz.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
Come join the organization that is redefining security for the AI era. As one of the fastest-growing startups ever, we enable teams to secure cloud and AI applications by connecting code, cloud, and runtime into a single shared context. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent. Not to mention, we're now powered by Google, meaning we offer our customers an AI-powered platform that harnesses Google’s Threat Intelligence and Security Operations to better detect, prevent, and respond to threats across all environments, allowing for further innovation.
Our Wizards from all over the globe work together to protect the infrastructure of our customers, including over 65% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We’re honored to be a leading player in a massive and growing market, and we continue to look for exceptional Wizards who are eager to make a significant impact on our team. At Wiz, you’ll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our momentous growth. Come join our team and help us create secure cloud environments that allow even the best companies to move faster, all while having some fun!
Minimum Qualifications
- 5+ years of experience in applied Data Science and AI engineering with significant hands-on work building LLM-based applications or AI agents.
- Deep practical experience with LLMs (prompt engineering, fine-tuning, model selection, and understanding trade-offs across providers and model families).
- Hands-on experience building Autonomous Agent architectures (e.g., LangGraph, multi-agent workflows, tool-calling, and state machines) and implementing rigorous evaluation frameworks (Evals, LLM-as-a-judge, benchmark suites).
- Knowledge of programming languages that are used in AI research, such as Python, and experience with AI frameworks (e.g., Hugging Face, LangChain, OpenAI, scikit-learn, TensorFlow, PyTorch) with the ability to deliver production-ready code.
- An M.S. or Ph.D. degree in computer science, statistics, or related field OR equivalent work experience.
Preferred Qualifications
- Experience in cybersecurity (cloud security, threat detection, investigation, or network telemetry).
- Experience with distributed cloud systems and hands-on familiarity with cloud-native architectures at scale.
- Strong knowledge of deep learning models and common model architecture such as transformer models.
- Excellent communication (both written and verbal) and presentation skills.
- Ability to work independently in a fast-paced environment and come up with creative solutions to challenging problems.
About The Job
We’re looking for an Applied Data Scientist Expert to join us and spread the power of Wiz. As a Data Scientist you will be responsible for driving research and development of autonomous AI agents and LLM-powered systems at Wiz. You will work closely with cross-functional teams to explore, innovate, and implement AI-driven solutions to tackle emerging threats, examine cloud security features, and enhance the company’s security posture.
Responsibilities
- Lead applied research on AI agents and LLM-driven features in the Wiz platform - from autonomous threat investigation agents to AI-powered security operations workflows. Cover a range of features, from leveraging LLMs to enhance customer investigation experience to novel usage of AI for cloud security.
- Collaborate with engineering teams to design, build, and maintain production pipelines.
- Work closely with the Security Research and Product teams to define research goals.
- Conduct experiments and evaluate the performance of AI models, algorithms, and techniques using real-world datasets and simulated environments.
- Stay abreast of cutting-edge AI methodologies, frameworks, and tools and apply them to improve security solutions' accuracy, efficiency, and scalability.
Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship.
Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Tel Aviv
Working pattern and location restrictions need checking in the full posting.
- Work authorization
- Stay abreast of cutting-edge AI methodologies, frameworks, and tools and apply them to improve security solutions' accuracy, efficiency, and scalability. Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship. Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.