Data Scientist

M9 Solutions is seeking aData Scientistto work on-site for a client located in Springfield or Lorton, VA. An active TS/SCI clearance is required.

Responsibilities

• Provide comprehensive data science support to advance the objectives of the client, specifically to integrate disparate data sources, generate actionable intelligence, and deliver visualization capabilities that enable stakeholders to swiftly identify and mitigate threats.
• Shall have data science expertise to support a government-procured behavioral analytics platform.
• Shall design and lead advanced, multifaceted analytic correlation across large, complex datasets to uncover indicators and observables of insider threats.
• Shall conduct exploratory data analysis using mathematical and statistical techniques grounded in the scientific method.
• Coordinate research across structured andunstructured data sources, applying programming languages (e.g., Python) toclean, normalize, and structure data for analysis.
• Conduct experimentation on data inputs to reveal latent patterns, generate insights, and propose innovative solutions to complex data challenges.
• Partner with engineering teams to build a secure, scalable data environment populated by inputs from Data Analysts, Data Integrators, Knowledge Managers, and Intelligence Analysts.
• Develop prioritization frameworks and process schedules for data-centric projects.
• Identify and resolve root causes of data-related issues, define key data assets, and build models aligned with long-term architectural strategy for enterprise data platforms.
• Provide engineers with advanced integration capabilities to support disparate security sensors and systems.
• Leverage Python to access and manipulate Application Programming Interfaces (APIs) for seamless data ingestion across platforms.
• Ensure robust API integrations to unify external threat and system logs into the analytical ecosystem.
• Employ advanced analytical techniques to process and analyze large volumes of IT system log data.
• Detect insider threats, Advanced Persistent Threats (APTs), and other cyber intrusions by applying customized methodologies to user/system log files, legacy IT management systems, and emerging analytics technologies.
• Provide a timely response to critical/high UAM alerts (within 4 hours during normal business hours and provide after-hour support). Normal business hours will be defined as 6 am to 10 pm Monday - Friday, excluding weekends and scheduled holidays. Implement corrective actions to restore normal operations and prevent recurrence.
• Be available for on-call after-hours support as needed.

Required Skills and Qualifications

• Bachelor's degree in Data Analytics, Computer Science, Information Technology, Statistics, Cyber Security, or related field.
• Current TS/SCI and must be a U.S. citizen.
• Minimum of 6 years demonstrated knowledge of proficiency in statistical analysis, data mining, and predictive modeling.
• Minimum of 6 years demonstrated knowledge of the intelligence cycle, processes, and organizations.
• Familiarity with machine learning techniques, particularly unsupervised learning from anomaly detection.
• Strong programming skills in languages such as Python for data manipulation and analysis
• Experience using data visualization tools.
• Knowledge of SQL for querying and managing large datasets.
• Experience with cloud-based tools (AWS or Azure) for training and operationalizing machine learning models is a plus.
• Ability to work with large, complex datasets from multiple sources.
• Have excellent written and verbal skills with the ability to deliver briefings to technical and non-technical stakeholders.
• Possess knowledge of current domestic and international threats to U.S. national security interests.
• Be adept at establishing networks with relevant security, personnel, and prevention stakeholders to foster program utilization.
• Be a self-starter capable of working independently to promote program goals.
• Advanced knowledge of User Activity Monitoring products and platforms.
• Advanced knowledge of Cybersecurity toolsets designed to support client mission activities.