Cybersecurity Data Scientist — Senior Analytics Specialist

STATE STREET CORPORATION; Quincy (MA); On-site; USD 90,000 - 158,000; Full time

Benefits offered by this job

401K match

Paid time off

Volunteer days

Employee networks

Flexible work-life support

Job summary

State Street Corporation is seeking a Data Scientist to support enterprise cybersecurity data science and analytics. You will apply statistical modeling, ML, graph analytics, NLP, and GenAI to large-scale security datasets to generate insights and improve risk prioritization.

You will collaborate with security, engineering, governance, and risk stakeholders to translate needs into analytical solutions and deliver scalable datasets, notebooks, models, and dashboards.

Qualifications

• 5-8 years of total professional experience in data science, analytics, ML, data engineering, or related roles.
• 2-4 years applying DS/ML to cybersecurity, risk, or similar enterprise datasets.
• Bachelor's degree in CS/DS/Statistics/Engineering or equivalent practical experience.
• Strong hands-on experience with Python and SQL for analytical modeling and data manipulation.

Responsibilities

• Develop ML/AI models to identify patterns, anomalies, relationships, and risk signals in cybersecurity data.
• Analyze large structured, semi-structured, graph, time-series, and text datasets using Python, SQL, PySpark, and Databricks.
• Design analytics for threat detection, vulnerability prioritization, and risk scoring.
• Create Power BI reports and dashboards communicating model outputs and cyber trends to technical and non-technical audiences.

Skills

Statistical modeling

Supervised learning

Unsupervised learning

Feature engineering

Model evaluation

Anomaly detection

Explainability

Experimentation

NLP

GenAI

Education

Bachelor's degree in Computer Science or related field

Master's degree preferred

Tools

Python

SQL

PySpark

Databricks

Power BI

Job description

State Street Corporation is seeking a Data Scientist to support enterprise cybersecurity data science and analytics. You will apply statistical modeling, ML, graph analytics, NLP, and GenAI to large-scale security datasets to generate insights and improve risk prioritization.

You will collaborate with security, engineering, governance, and risk stakeholders to translate needs into analytical solutions and deliver scalable datasets, notebooks, models, and dashboards.