This role combines deep technical expertise with leadership responsibility, driving multidisciplinary Data Science initiatives end-to-end within complex, security policy management systems.
The role drives the development of innovative, production-grade AI capabilities - including security AI agents and advanced machine learning models built on complex security data.
Original thinking, deep technical rigor, intellectual agility, and exceptional problem-solving are essential.
Key Responsibilities
- Lead end-to-end Data Science initiatives from problem framing through validation, CI/CD-based production deployment, monitoring, and ongoing operational optimization of AI systems
- Design and implement security-focused AI agents and reasoning systems
- Develop advanced ML capabilities, including predictive modeling, anomaly detection, and classification
- Adapt and fine-tune LLM technologies for domain-specific security use cases
- Partner with Product, Engineering, and Security teams to deliver measurable business impact
- Provide technical leadership and mentorship across multidisciplinary Data Science initiatives
- M.Sc. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative discipline
- At least 7 years of hands-on Data Science experience, delivering end-to-end solutions into production environments
- Deep understanding of machine learning theory and practical model behavior
- Strong expertise in Python and the modern Data Science ecosystem (NumPy, Pandas, Scikit-learn, PyTorch / TensorFlow, etc.)
- Solid understanding of LLM architectures and fine-tuning methodologies
- Excellent interpersonal skills and proven ability to work within multidisciplinary product teams
- Strong analytical rigor and structured problem-solving capability
Advantage
- Experience with ML observability, model monitoring, or drift detection.
- Experience with graph technologies, such as Neo4j.
- Experience with Generative AI, RAG, GraphRAG, semantic search, vector databases, or domain-specific LLM fine-tuning / adaptation.
- Experience designing and deploying AI agents or multi-step reasoning systems in on-premise environments.
- Background in network security, firewall policies, or compliance analytics.
Skills Required
- M.Sc. in Data Science, Computer Science, Statistics, Mathematics, or related quantitative discipline
- At least 7 years of hands-on Data Science experience delivering end-to-end production solutions
- Deep understanding of machine learning theory and practical model behavior
- Strong expertise in Python and the modern Data Science ecosystem (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow)
- Solid understanding of LLM architectures and fine-tuning methodologies
- Excellent interpersonal skills and ability to work within multidisciplinary product teams
- Strong analytical rigor and structured problem-solving capability
- Experience with ML observability, model monitoring, or drift detection
- Experience with graph technologies (e.g., Neo4j)
- Experience with Generative AI, RAG, GraphRAG, semantic search, or vector databases
- Experience designing and deploying AI agents or multi-step reasoning systems in on-premise environments
- Background in network security, firewall policies, or compliance analytics
What the Team is Saying
Tufin Compensation & Benefits Highlights
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Healthcare Strength — Healthcare offerings include medical, dental, vision, mental health support, and FSA/HSA options, with core U.S. coverage described as comprehensive. Wellness resources such as an EAP, yoga/meditation, and gym or sport activities further reinforce the package.
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Leave & Time Off Breadth — Time-off policies emphasize flexible or unlimited PTO alongside paid sick days, paid holidays, bereavement leave, and paid volunteer time. Hybrid and remote work options support practical use of time off and work-life balance.
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Parental & Family Support — Parental leave is characterized as generous, with family medical leave available and onsite Mother’s Rooms in some locations. These elements highlight attention to caregiving needs across different life stages.
Tufin Insights
What We Do
Tufin is a world leading network security policy management company, managing and automating security changes across next gen firewalls and network devices. We are a hybrid technology, supporting on/off prem and cloud services. The automation orchestration piece is what sets us apart in the market, as this allows us to help our customers to implement their security changes in hours or minutes vs. days. Since going public in April 2019, Tufin has continued to be the market leader in the space!
Why Work With Us
Here at Tufin, we pride ourselves on being a transparent organization where the door is always open & treating others with respect and care is our top value (hence our “no asshole” policy). We believe that every employee is important in achieving our mission & as we continue to grow, we are making sure that we are maintaining our unique culture.
Gallery
Tufin Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
