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 rapid-moving startup environment, 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 valueWhat You Bring- 15+ years of hands-on experience in Data Science, ML, AI, Analytics, or a closely related field, with a strong record of building production-grade solutions- Strong hands-on expertise in ML/AI techniques, algorithms, and statistical methods- Deep understanding of supervised and unsupervised learning — classification, clustering, anomaly detection, dimensionality reduction- Strong programming experience in Python, with frameworks like NumPy, Pandas, Scikit-learn, NetworkX, and TensorFlow/Keras- Experience with large-scale datasets and distributed/cloud environments- Strong grasp of software engineering principles — architecture, scalability, reliability, performance, testing, CI/CD, production operations- Demonstrated ability to take ambiguous problems from definition to production solution- Bachelor's, Master's, or PhD in Computer Science, Data Science, Mathematics, Statistics, Engineering, or equivalent practical experienceGood to Have- Experience in cybersecurity, network security, identity security, or enterprise security analytics- Experience analyzing network traffic, flows, security events, audit logs, identity data, or telemetry- Event/log analytics platforms (ELK/OpenSearch or equivalent)- Graph analytics and graph-based ML (NetworkX or similar)- SQL, MongoDB, or equivalent- Distributed data processing (Spark or similar)- MLOps, model monitoring, and model lifecycle management- Experience applying LLMs/GenAI to cybersecurity or enterprise data analyticsInterested or know someone who fits? Write to [email protected]— happy to share more details

📌 Director Data Science -Cybersecurity / Identity Security platform- $110K - $130K (Amravati)
🏢 CareerXperts Consulting
📍 Amravati