
11 - 50 employees
đïž Defense
đ Cybersecurity
âïž SaaS
đ° $500k Venture Round - TeamWorx Security on 2025-06
Defense âą Cybersecurity âą SaaS
TeamWorx Security is a dual-use AI-driven cyber defense company that provides a secure information-sharing platform (Hive-IQ) and collaborative intelligence community for cybersecurity professionals. The company combines AI-generated insights with human analysis to enable collective defense across industries, offering SaaS cloud instances, enterprise editions, managed support, training, and expert services including risk assessments, software and data engineering, identity and access management, and AI integration. TeamWorx focuses on operationalizing cybersecurity programs, integrating AI/LLMs safely, and delivering managed and professional services to help organizations strengthen governance, detection, and response capabilities.
đ„ 0 minutes ago
đŠ Maryland â Remote
đ” $140k - $170k / year
â° Full Time
đ Senior
đ Data Scientist
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11 - 50 employees
đïž Defense
đ Cybersecurity
âïž SaaS
đ° $500k Venture Round - TeamWorx Security on 2025-06
Defense âą Cybersecurity âą SaaS
TeamWorx Security is a dual-use AI-driven cyber defense company that provides a secure information-sharing platform (Hive-IQ) and collaborative intelligence community for cybersecurity professionals. The company combines AI-generated insights with human analysis to enable collective defense across industries, offering SaaS cloud instances, enterprise editions, managed support, training, and expert services including risk assessments, software and data engineering, identity and access management, and AI integration. TeamWorx focuses on operationalizing cybersecurity programs, integrating AI/LLMs safely, and delivering managed and professional services to help organizations strengthen governance, detection, and response capabilities.
âą Translate mission and business questions into analytical approaches with government stakeholders and subject matter experts âą Perform exploratory and statistical analysis, predictive modeling, forecasting, scenario analysis, and feature engineering using governed enterprise data âą Develop, validate, and maintain models and AI-enabled analytical capabilities âą Document assumptions, definitions, and data lineage âą Establish whether outputs are accurate, explainable, and fit for the supported decision âą Build analytical datasets using Databricks, BigQuery, Python, and SQL âą Work with the data engineering team where production pipelines are required âą Take ownership of existing analytical products, reports, and stakeholder relationships âą Sustain and improve existing capabilities while building new ones âą Deliver visualizations, dashboards, models, and written analysis for technical and non-technical audiences âą Present findings to stakeholders and leadership
âą Bachelor's degree with 12 years of relevant experience, or a Master's degree with 10 years, in data science, statistics, mathematics, economics, operations research, computer science, engineering, or a related quantitative field âą Demonstrated experience developing, validating, and documenting analytical models that informed real operational or business decisions âą Strong applied statistics and machine learning fundamentals, including judgment about which method fits the problem âą Proficiency in Python and SQL for analysis, modeling, and working with data at scale âą Experience evaluating model performance and communicating uncertainty, limitations, and assumptions honestly to non-technical stakeholders âą Hands-on experience working in Databricks as a practitioner: notebooks, SQL and PySpark for analysis, model development and tracking, AI features, or dashboards âą U.S. citizenship is required âą Must be eligible to obtain and maintain federal suitability, a government-issued PIV credential, and required system access âą Prior experience supporting GSA, ideally within the Public Buildings Service, including an understanding of how PBS is organized, how its business lines operate, and where its data lives âą Experience with Google Cloud Platform and BigQuery, along with familiarity with data governance and production support âą Experience as the senior analytical voice on a team, setting methods, reviewing others' analysis, and mentoring less experienced analysts
âą Comprehensive Health, Dental, & Vision Insurance âą Short-Term Disability & Life Insurance âą Matching 401(k) Contributions âą Paid Time Off including 11 Holidays and your Birthday âą Professional Development âą Fitness Membership âą Home Office allocations âą Performance Bonuses & Profit Sharing âą Employee Referral Bonuses
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