Director Data Science -Cybersecurity / Identity Security platform- $110K - $130K

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. /n This is a hands-on leadership role in a fast-moving startup environment, balancing technical depth, product thinking, execution, and team building. /n What You'll Own /n /n - Define and drive the technical vision, roadmap, and execution for Data Science, ML, AI, and advanced analytics capabilities /n - Build large-scale analytics solutions capable of processing billions of events, network flows, logs, identities, and security signals /n - Own Data Science/ML components end-to-end — from problem definition through production deployment, monitoring, and optimization /n - Apply supervised/unsupervised learning, anomaly detection, clustering, classification, and graph analytics to solve complex cybersecurity problems /n - Drive data preparation, feature engineering, model development, and experimentation across large, diverse security datasets /n - Build analytical and ML-based capabilities for threat detection, behavioral analysis, identity/access analytics, and security posture /n - Make key architectural and technical decisions, establishing engineering best practices for the function /n - Partner closely with Engineering, QA, UI, DevOps, IT/Ops, Product Management, and senior leadership to take solutions from concept to production /n - Build, mentor, and grow a strong Data Science/ML team with a high technical bar /n - Evaluate and adopt advances in AI/ML, GenAI, and graph analytics where they create real product value /n /n What You Bring /n /n - 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 /n - Strong hands-on expertise in ML/AI techniques, algorithms, and statistical methods /n - Deep understanding of supervised and unsupervised learning — classification, clustering, anomaly detection, dimensionality reduction /n - Strong programming experience in Python, with frameworks like NumPy, Pandas, Scikit-learn, NetworkX, and TensorFlow/Keras /n - Experience with large-scale datasets and distributed/cloud environments /n - Strong grasp of software engineering principles — architecture, scalability, reliability, performance, testing, CI/CD, production operations /n - Demonstrated ability to take ambiguous problems from definition to production solution /n - Bachelor's, Master's, or PhD in Computer Science, Data Science, Mathematics, Statistics, Engineering, or equivalent practical experience /n /n Good to Have /n /n - Experience in cybersecurity, network security, identity security, or enterprise security analytics /n - Experience analyzing network traffic, flows, security events, audit logs, identity data, or telemetry /n - Event/log analytics platforms (ELK/OpenSearch or equivalent) /n - Graph analytics and graph-based ML (NetworkX or similar) /n - SQL, MongoDB, or equivalent /n - Distributed data processing (Spark or similar) /n - MLOps, model monitoring, and model lifecycle management /n - Experience applying LLMs/GenAI to cybersecurity or enterprise data analytics /n /n Interested or know someone who fits? Write to rukmini@careerxperts.com— happy to share more details