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Senior Data Scientist - India at Tufin · Trevo

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Senior Data Scientist - India

Verified Active

India · Cyber · Senior

✓ Direct ATS✓ Not duplicate✓ Fresh

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Slowing hiring · Slowing hiringAttractivenessDStability~C

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17:30–19:30

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Job description

About the role

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.

What you'll do

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

Requirements

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

Nice to have

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.

Tech stack

PythonNeo4jpandasNumPyTensorFlowPyTorchscikit-learnLLMGenAIAICi/cd

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