Job Description

We're building the Data Science and ML capabilities that power an enterprise cybersecurity platform — analyzing billions of events, flows, logs, and identity signals to help customers detect risk before it becomes a breach. If you combine deep technical expertise with strong engineering leadership, this is your next big challenge.

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This is a hands-on leadership role in a fast-moving startup environment, balancing technical depth, product thinking, execution, and team building.

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What You'll Own

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- Define and drive the technical vision, roadmap, and execution for Data Science, ML, AI, and advanced analytics capabilitiesn
- Build large-scale analytics solutions capable of processing billions of events, network flows, logs, identities, and security signalsn
- Own Data Science/ML components end-to-end — from problem definition through production deployment, monitoring, and optimizationn
- Apply supervised/unsupervised learning, anomaly detection, clustering, classification, and graph analytics to solve complex cybersecurity problemsn
- Drive data preparation, feature engineering, model development, and experimentation across large, diverse security datasetsn
- Build analytical and ML-based capabilities for threat detection, behavioral analysis, identity/access analytics, and security posturen
- Make key architectural and technical decisions, establishing engineering best practices for the functionn
- Partner closely with Engineering, QA, UI, DevOps, IT/Ops, Product Management, and senior leadership to take solutions from concept to productionn
- Build, mentor, and grow a strong Data Science/ML team with a high technical barn
- Evaluate and adopt advances in AI/ML, GenAI,



and graph analytics where they create real product valuen

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What You Bring

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- 12+ years of hands-on experience in Data Science, ML, AI, Analytics, or a closely related field, with a solid record of building production-grade solutionsn
- Robust hands-on expertise in ML/AI techniques, algorithms, and statistical methodsn
- Deep understanding of supervised and unsupervised learning — classification, clustering, anomaly detection, dimensionality reductionn
- Strong programming experience in Python, with frameworks like NumPy, Pandas, Scikit-learn, NetworkX, and TensorFlow/Kerasn
- Experience with large-scale datasets and distributed/cloud environmentsn
- Strong grasp of software engineering principles — architecture, scalability, reliability, performance, testing, CI/CD, production operationsn
- Demonstrated ability to take ambiguous problems from definition to production solutionn
- Bachelor's, Master's, or PhD in Computer Science, Data Science, Mathematics, Statistics, Engineering, or equivalent practical experiencen

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Good to Have

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- Experience in cybersecurity, network security, identity security, or enterprise security analyticsn
- Experience analyzing network traffic, flows, security events, audit logs, identity data, or telemetryn
- Event/log analytics platforms (ELK/OpenSearch or equivalent)n
- Graph analytics and graph-based ML (NetworkX or similar)n
- SQL, MongoDB, or equivalentn
- Distributed data processing (Spark or similar)n
- MLOps, model monitoring, and model lifecycle managementn
- Experience applying LLMs/GenAI to cybersecurity or enterprise data analyticsn

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You see it a fit, then send your resume to [email protected] for more details.

📌 Head of Data Science - Identity Security-Anomaly Detection Graph Analytics-Large-Scale Data Processi (Pune)
🏢 CareerXperts Consulting
📍 Pune