Role: Data Scientist with ML

Location: Atlanta, GA (5days onsite)

Exp – 12+ years must

Client –Virtusa/ JPMC

Mandatory Skills: Historical Data, Forecasting, Z-score

Job Description :

Apply statistical modeling and data science techniques to transaction and TCP L4 telemetry to identify anomalous traffic and behavioral patterns.
Build behavioral baselines and anomaly detection models using time-series analysis, clustering, correlation, outlier detection and statistical thresholds.
Engineer features from transaction, connection, velocity, retry, batch, and historical alert data to improve detection accuracy. Develop statistical scoring and classification models to differentiate legitimate, duplicate, retry, anomalous, and potential DDoS activity.
Analyze historical incidents and alerts to optimize detection thresholds and reduce false positives.
Integrate statistical detection signals into agentic AI investigation workflows for automated correlation, investigation and evidence generation.
Validate models using historical and simulated traffic scenarios and measure precision, recall, false-positive/false-negative rates and detection latency.
Monitor model performance, behavioral drift, and changes in traffic patterns, and continuously tune detection algorithms. Partner with engineering and operations teams to productionize models and provide explainable, statistically grounded recommendations to human investigators
Education in MS in statistics or data science.

Data Scientist with ML

Key skills