cFocus Software Incorporated
Data Scientist - Intermediate (ARIA) (Secret)
cFocus Software Incorporated, New York, New York, United States
Overview
Data Scientist - Intermediate- ARIA
cFocus Software seeks a Data Scientist - Intermediate- ARIA supporting the Department of Health & Human Services (HHS).
This position is located in Washington, DC and Atlanta, GA, with the option for remote work.
Responsibilities
Collect, analyze, and enrich cyber threat intelligence tailored to HHS and the HPH sector
Produce intelligence products (IOCs, technical briefs, executive summaries) and deliver regular threat reports
Manage IOC ingestion, categorization, correlation, and real-time alerting
Collaborate with external partners and stakeholders; brief leadership on emerging threats
Experience with Automated Risk Indicator Analysis (ARIA)
Identify and streamline outdated processes, introducing innovative approaches and technologies to improve operational efficiency and reduce costs. Use expert knowledge in statistics, programming, and machine learning to uncover insights and patterns within large datasets. Turn raw data into actionable insights that can help organizations make more informed decisions and drive innovation
Data Collection and Cleaning: Gathering data from various sources and preparing it for analysis by cleaning, organizing, and transforming it
Data Analysis: Using statistical methods and algorithms to identify trends, correlations, and anomalies within the data
Machine Learning: Building and training machine learning models to make predictions, classifications, or recommendations
Data Visualization: Creating visualizations (like charts, graphs, and dashboards) to communicate findings effectively
Problem Solving: Applying data-driven solutions to address business challenges and improve decision-making
Qualifications
Clearance: Secret (minimum)
Tools Used
Splunk, PowerBI, Tableau, Python
ServiceNow, Salesforce, Remedy
Wireshark, PhishMe, Mandiant
Cisco Webex, Microsoft Teams, Adobe Creative Cloud
#J-18808-Ljbffr
Responsibilities
Collect, analyze, and enrich cyber threat intelligence tailored to HHS and the HPH sector
Produce intelligence products (IOCs, technical briefs, executive summaries) and deliver regular threat reports
Manage IOC ingestion, categorization, correlation, and real-time alerting
Collaborate with external partners and stakeholders; brief leadership on emerging threats
Experience with Automated Risk Indicator Analysis (ARIA)
Identify and streamline outdated processes, introducing innovative approaches and technologies to improve operational efficiency and reduce costs. Use expert knowledge in statistics, programming, and machine learning to uncover insights and patterns within large datasets. Turn raw data into actionable insights that can help organizations make more informed decisions and drive innovation
Data Collection and Cleaning: Gathering data from various sources and preparing it for analysis by cleaning, organizing, and transforming it
Data Analysis: Using statistical methods and algorithms to identify trends, correlations, and anomalies within the data
Machine Learning: Building and training machine learning models to make predictions, classifications, or recommendations
Data Visualization: Creating visualizations (like charts, graphs, and dashboards) to communicate findings effectively
Problem Solving: Applying data-driven solutions to address business challenges and improve decision-making
Qualifications
Clearance: Secret (minimum)
Tools Used
Splunk, PowerBI, Tableau, Python
ServiceNow, Salesforce, Remedy
Wireshark, PhishMe, Mandiant
Cisco Webex, Microsoft Teams, Adobe Creative Cloud
#J-18808-Ljbffr