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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - WFH - **Company:** TRENT HOEK OUTDOORS LLC - **Location:** Washington, DC, United States (Remote available) - **Experience:** Experienced - **Salary:** $150,000.0 - $275,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Business Analytics Applications, Data Analysis, ARM Architecture, Microsoft Azure, Big Data, Cyber Security, Data Cleansing, Data Visualization, Query Languages, Document-Oriented Databases, Statistical Hypothesis Testing, Intrusion Detection and Prevention, Intrusion Detection Systems, Python (Programming Language), Network Forensics, Open Source Intelligence, Power BI, Kusto Query Language, Security Information and Event Management, SQL Databases, Data Streaming, Tcpdump, Wireshark, YAML, Jupyter Notebook, Snort (Software), Google Cloud, Cloud Platform System, Mitre Att&ck, QRadar, Cyber Threat Analysis, SC Clearance, Data Lakes, Information Technology, Cybercrime, Data Management, Cyber Warfare, Splunk - **Published:** October 9, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/ppzyzqps1n ## About the Role ### Clearance & Citizenship * Active Public Trust-level U.S. Government security clearance is required. * U.S. Citizenship is required. * Must be able to obtain and maintain a Secret-level clearance. * Active Secret clearance is a strong plus. ### Education & Experience One of the following: * 5+ years of experience in cybersecurity operations-related fields with a B.S. in Information Technology, Cybersecurity, or a related field. * 3+ years of relevant experience with a Master's degree in a related field. * High school diploma or equivalent with 9+ years of relevant experience. ### Technical Skills * Cybersecurity operations and Defensive Cyber Operations (DCO). * Cyber threat hunting methodologies and techniques. * SQL and KQL (Kusto) or other query languages. * Python; Jupyter Notebook experience is a plus. * Data analysis, statistical modeling, hypothesis testing, and visualization. * Dashboarding and visualization tools such as Power BI and Superset. * Experience with cloud environments such as AWS, Azure, or Google Cloud Platform. * SIEM platforms such as Splunk, QRadar, or ELK. * SOAR platforms such as Sentinel, Cortex, or X-SOAR. * Threat detection signature development and deployment. * Cyber defense data sources, including CVE and OSINT. * Vulnerability and attack identification and categorization. * Ability to read and interpret SNORT, SIGMA, YARA, and YAML signatures. * Network traffic analysis using tools such as TCPDump, Wireshark, and Zeek. * Familiarity with MITRE ATT&CK, incident response, and incident handling methodologies. * Experience with IDS/IPS tools and applications. * Ability to present technical analysis to stakeholders with varying levels of data knowledge. * Strong communication, interpersonal, organizational, and attention-to-detail skills. * Ability to work independently and collaboratively. * Ability to communicate effectively in public forums and customer-facing environments. ## Preferred Qualifications * Experience supporting Department of War (DoW) customers, particularly U.S. Cyber Command, DISA, DCDC, or Service Cyber Components. * DoW Security Operations Center (SOC) experience. * Experience with Big Data Platforms or Data Lake architectures. * Active Secret clearance. * Data+, Security+, CySA+, GCIH, GNFA, GCFA, or another recognized cybersecurity certification. * Jupyter Notebook experience. * Experience supporting customer training and demonstrations. ## Description Erias Ventures is seeking a Data Scientist to support cyber operations through data science, cybersecurity analysis, Defensive Cyber Operations (DCO), and networking expertise. The role supports cyber operational teams in leveraging intelligence, coordination applications, and analytical tools to identify threats, analyze findings, and convert operational processes into automated capabilities. The Data Scientist will conduct threat hunting, statistical analysis, operational research, hypothesis testing, model development, data analysis, and visualization. This customer-facing position also involves gathering Cyber Operations requirements, developing use cases, supporting training, analyzing data feeds, and providing technical guidance to customers. ## Key Responsibilities * Champion the Threat Awareness Sharing Capability (TASC) suite of applications. * Conduct threat hunting operations on assigned Big Data Platforms (BDP), including JCRS-D. * Present threat hunt findings through interactive sessions in person or remotely. * Assist customers with cyber threat hunting operations. * Collaborate with customers to identify requirements and operational gaps. * Advise customers on data enrichment and platform capabilities. * Perform quality assurance checks on data within the platform. * Evaluate new and potential data feeds for relevance and usability. * Support analytical requests, including data queries, searches, visualizations, and dashboards. * Apply advanced statistical modeling to identify hidden patterns and communicate findings through customer-facing visualizations. * Synthesize diverse data streams into useful data products. * Provide real-time customer support during normal working hours. * Maintain awareness of emerging cyber threats and notify impacted customers when appropriate. * Document data feeds, analytical deliverables, and related activities. * Support demonstrations showcasing platform capabilities. * Collect Cyber Operations requirements and develop customer use cases. * Support system and user training events in person or virtually. * Perform additional duties as assigned.