Data Science Lead

Job not on LinkedIn

September 17

⚔️ Virginia – Remote

Although this job is listed in Virginia, this company may be open to hiring remote in other states.

⏰ Full Time

🟠 Senior

📊 Data Scientist

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ThreatConnect

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Cybersecurity • Security • SaaS

ThreatConnect is a leading provider of threat intelligence and cyber risk management solutions. Specializing in the operationalization of threat intelligence, the company offers products such as a Threat Intelligence Platform, Polarity, and Risk Quantifier, helping organizations to enhance their cybersecurity through effective threat identification and risk quantification in financial terms. ThreatConnect's solutions are designed to improve collaboration and efficiency within security operations by integrating and managing diverse sources of intelligence and enabling automation and orchestration of security responses. Recognized for its advanced cyber threat intelligence and risk quantification capabilities, ThreatConnect supports customers in sectors like software, healthcare, and financial services in moving from reactive to proactive security measures.

51 - 200 employees

Founded 2013

🔒 Cybersecurity

🔐 Security

☁️ SaaS

📋 Description

• Model Development: Lead design and implementation of probabilistic and statistical models for loss magnitude, frequency, and attack path likelihood • Data Leadership: Expand and curate ThreatConnect’s risk data sets, including loss event data, CVE data (KEV, EPSS), MITRE ATT&CK coverage, control posture data, and third-party risk data • Player-Coach: Mentor a team of data scientists while remaining hands-on with modeling, code reviews, and experimentation • Cross-Functional Collaboration: Partner with Product, Engineering, and Threat Intelligence teams to operationalize models in RQ • Innovation: Research and apply advanced methods (Bayesian modeling, ML techniques) to continuously improve prediction accuracy and coverage • Quality & Governance: Ensure model transparency, explainability, and defensibility for customer and regulatory review. Lead the development of algorithmic models for CRQ, including threat likelihood, loss magnitude, control efficacy, and scenario simulation • AI: Guide the implementation of AI-enhanced modeling (e.g., LLMs, pattern mining) to support automation of risk scenario development and decision support

🎯 Requirements

• 7+ years of experience in applied data science, quantitative modeling, or algorithm development • Strong understanding of cybersecurity principles, threat actor behavior, or risk frameworks (e.g., NIST CSF, MITRE ATT&CK, FAIR) • Proven ability to build and deploy risk or predictive models in enterprise environments • Proficiency in Python and familiarity with modeling libraries (e.g., NumPy, PyMC3, scikit-learn) • Experience with Git, Jira, and modern ML ops pipelines • Strong communication and storytelling skills for technical and non-technical audiences • Experience building CRQ models in alignment with FAIR or related frameworks (desired) • Familiarity with simulating attack paths, graph-based reasoning, or control validation (desired) • PhD or advanced degree in data science, computer science, engineering, or related field (desired) • Experience with integrating models into SaaS platforms or cloud-native environments (desired) • Background in red/blue teaming, SOC data, or adversary emulation is a plus (desired)

🏖️ Benefits

• We offer a competitive benefits package with comprehensive insurance coverage • unlimited paid time off • unique perks designed to help you meet your financial and personal goals • an employment experience and benefits package that enables you and your family to grow with us and share in our success • We love to recognize our employees who have gone above and beyond.