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 robust 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 Own
Define and drive the technical vision, roadmap, and execution for Data Science, ML, AI, and advanced analytics capabilities
Build large-scale analytics solutions capable of processing billions of events, network flows, logs, identities, and security signals
Own Data Science/ML components end-to-end — from problem definition through production deployment, monitoring, and optimization
Apply supervised/unsupervised learning, anomaly detection, clustering, classification, and graph analytics to solve complex cybersecurity problems
Drive data preparation, feature engineering,



model development, and experimentation across large, diverse security datasets
Build analytical and ML-based capabilities for threat detection, behavioral analysis, identity/access analytics, and security posture
Make key architectural and technical decisions, establishing engineering best practices for the function
Partner closely with Engineering, QA, UI, DevOps, IT/Ops, Product Management, and senior leadership to take solutions from concept to production
Build, mentor, and grow a strong Data Science/ML team with a high technical bar
Evaluate and adopt advances in AI/ML, GenAI, and graph analytics where they create real product value

What You Bring
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 solutions
Strong hands-on expertise in ML/AI techniques, algorithms, and statistical methods

📌 Director Data Science Pune
🏢 CareerXperts Consulting
📍 Pune