Data Science Leader

3 days ago

pune, India beBeeDataScience Full time

We are seeking a Data Science Leader to spearhead a high-performing team of data scientists and ML engineers focused on building scalable, intelligent cybersecurity products. You will work at the intersection of data science, threat detection, and real-time analytics to identify cyber threats, automate detection, and enhance risk modelling.About the RoleThe ideal candidate will have experience in leading cross-functional data projects from conception to production, managing project roadmaps, deliverables, and performance metrics (precision, recall, F1 score, etc.). They will also be responsible for overseeing development of models for intrusion detection, malware classification, phishing detection, and insider threat analysis.ResponsibilitiesLead and mentor a team of data scientists, analysts, and machine learning engineers.Define and execute data science strategies aligned with cybersecurity use cases (e.g., anomaly detection, threat classification, behavioural analytics).Collaborate with product, threat research, and engineering teams to build end-to-end ML pipelines.Manage development of models for intrusion detection, malware classification, phishing detection, and insider threat analysis.Oversee project roadmaps, deliverables, and performance metrics.Establish MLOps best practices and ensure robust model deployment, versioning, and monitoring.Drive exploratory data analysis on large-scale security datasets (e.g., endpoint logs, network flows, SIEM events).RequirementsBachelor's or master's degree in computer science, Data Science, Statistics, or related field.7+ years of experience in data science or ML roles, with at least 2+ years in a leadership role.Strong hands-on experience with Python, SQL, and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).Experience working with security datasets: EDR logs, threat intel feeds, SIEM events, etc.Familiarity with cybersecurity frameworks (MITRE ATT&CK, NIST, etc.).Deep understanding of statistical modelling, classification, clustering, and time-series forecasting.Preferred SkillsExperience with anomaly detection, graph-based modelling, or NLP applied to security logs.Understanding of data privacy, encryption, and secure data handling.Exposure to cloud security (AWS, Azure, GCP) and tools like Splunk, Elastic, etc.Experience with MLOps tools like MLflow, Kubeflow, or SageMaker.

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