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.This is a hands-on leadership role in a fast-moving startup workplace, balancing technical depth, product thinking, execution, and team building.What You'll OwnDefine and drive the technical vision, roadmap, and execution for Data Science, ML, AI, and advanced analytics capabilitiesBuild large-scale analytics solutions capable of processing billions of events, network flows, logs, identities, and security signalsOwn Data Science/ML components end-to-end — from problem definition through production deployment, monitoring, and optimizationApply supervised/unsupervised learning, anomaly detection, clustering, classification, and graph analytics to solve complex cybersecurity problemsDrive data preparation, feature engineering, model development, and experimentation across large, diverse security datasetsBuild analytical and ML-based capabilities for threat detection, behavioral analysis, identity/access analytics, and security postureMake key architectural and technical decisions, establishing engineering best practices for the functionPartner closely with Engineering, QA, UI, DevOps, IT/Ops, Product Management, and senior leadership to take solutions from concept to productionBuild, mentor, and grow a strong Data Science/ML team with a high technical barEvaluate and adopt advances in AI/ML, GenAI,



and graph analytics where they create real product valueWhat You Bring12+ years of hands-on experience in Data Science, ML, AI, Analytics, or a closely related field, with a strong record of building production-grade solutionsStrong hands-on expertise in ML/AI techniques, algorithms, and statistical methodsDeep understanding of supervised and unsupervised learning — classification, clustering, anomaly detection, dimensionality reductionStrong programming experience in Python, with frameworks like NumPy, Pandas, Scikit-learn, NetworkX, and TensorFlow/KerasExperience with large-scale datasets and distributed/cloud environmentsStrong grasp of software engineering principles — architecture, scalability, reliability, performance, testing, CI/CD, production operationsDemonstrated ability to take ambiguous problems from definition to production solutionBachelor's, Master's, or PhD in Computer Science, Data Science, Mathematics, Statistics, Engineering, or equivalent practical experienceGood to HaveExperience in cybersecurity, network security, identity security, or enterprise security analyticsExperience analyzing network traffic, flows, security events, audit logs, identity data, or telemetryEvent/log analytics platforms (ELK/OpenSearch or equivalent)Graph analytics and graph-based ML (NetworkX or similar)SQL, MongoDB, or equivalentDistributed data processing (Spark or similar)MLOps, model monitoring, and model lifecycle managementExperience applying LLMs/GenAI to cybersecurity or enterprise data analyticsYou see it a fit, then send your resume to for more details.

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