Data Scientist with Statistical Analyst

Data Scientist with ML

Location: Atlanta, GA - Onsite

Experience: 12+ Years

Job Summary

Seeking an experienced

Statistical Modeling

expertise to analyze transaction and

TCP L4 telemetry

data, identify anomalous traffic and behavioral patterns, and develop statistical and ML-based detection models.

1. Statistical Modeling & Z-Score Analysis

2. Historical Data Analysis & Anomaly Detection

3. Time-Series Forecasting & Predictive Analytics

4. Python/R & Machine Learning]

5. TCP/IP or TCP L4 telemetry experience.

Key Responsibilities

• Apply statistical modeling and data science techniques to transaction and TCP L4 telemetry.
• Develop anomaly detection and behavioral baseline models using:
• Time-series analysis
• Clustering
• Correlation
• Outlier detection
• Statistical thresholds
• Engineer features from transaction, connection, velocity, retry, batch, and historical alert data.
• Develop scoring and classification models to identify 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.
• Measure model performance using precision, recall, false-positive/false-negative rates, and detection latency.
• Monitor model performance, behavioral drift, and changes in traffic patterns.
• Continuously tune and improve detection algorithms.
• Partner with engineering and operations teams to productionize ML models.
• Provide explainable, statistically grounded recommendations to human investigators.

Required Skills

• 11+ years of experience in Data Science / Machine Learning.
• Strong Python skills.
• Strong background in statistical modeling and statistical analysis.
• Hands-on experience with anomaly detection / outlier detection.
• Experience with time-series analysis.
• Experience with clustering and classification models.
• Strong feature engineering experience.
• Experience evaluating ML models using precision, recall, false positives/negatives, etc.
• Experience working with large-scale transaction, telemetry, or behavioral data.

Preferred Skills

• Network traffic / cybersecurity analytics experience.
• TCP/IP or TCP L4 telemetry experience.
• DDoS detection or network anomaly detection.
• Behavioral baselining.
• Incident and alert analysis.
• ML model monitoring and model drift.
• Productionizing ML models.
• Experience with Generative AI / Agentic AI workflows.
• Experience working with engineering and operations teams.