JCT Recruiting

Security Operations

• Actively monitor for and respond to security events, indicators of compromise, and potential data exfiltration
• Triage, investigate, and remediate security detections; escalate to Tier 2/3 when needed
• Troubleshoot and maintain security tools (e.g., VPN, email security, endpoint protection)
• Partner with Information Security and IT teams to support incident response and system improvements
• Assist with routine maintenance, documentation, and configuration updates
• Contribute to the continuous improvement of security monitoring and detection capabilities

Security Operations Center (SOC) Analyst

Technical Project Manager

• Lead and manage data engineering projects, focusing on Snowflake and Agile methodologies.
• Participate in the design, development, and implementation of data engineering solutions.
• Manage project timelines, resources, and deliverables with Quality to ensure the successful completion of the project.
• Collaborate with cross-functional teams to align data strategies with business objectives.
• Mentor and guide team members to foster professional growth and technical expertise.
• Ensure adherence to organizational practices for iterative development and continuous improvement.
• Develop and maintain documentation for data processes and systems.

Account Executive

• Execute sales calls and other sales strategies that increase the pipeline and new landed business
• Build a report with prospects to turn conversations into meaningful interactions
• Utilize sales-related technology/software, including (but not limited to) ZoomInfo, HubSpot, and Excel
• Identify prospective opportunities through communications, programs, and other activities as needed
• Collaborate on presentation materials for potential new accounts
• Recommend continuous improvement ideas for the Company's sales strategies

Regional Account Executive

Machine Learning Engineer

• Design, build, and maintain robust and scalable machine learning models and pipelines tailored to enhance the company’s marketplace platform and GenAI managed solutions
• Lead experimentation processes, rigorously validating models through A/B testing, statistical analyses, and iterative improvements
• Collaborate closely with data scientists, software engineers, product managers, and client teams to define requirements and deliver high-quality products
• Continuously improve existing ML solutions, ensuring they are performant, efficient, and aligned with evolving business objectives
• Ensure adherence to best practices in code quality, data integrity, and infrastructure reliability with emphasis on scalability and maintainability
• Mentor junior engineers and contribute to team growth and knowledge sharing
• Stay current with advancements in machine learning, AI methodologies, and marketplace technologies and propose innovative solutions proactively

Staff Machine Learning Engineer

Data Scientist

• Lead the design, development, and continuous improvement of advanced statistical, machine learning, and Generative AI models, focusing on talent marketplace matching, recommendation systems, and predictive analytics.
• Conduct research-driven initiatives to improve scalability, interpretability, and real-world performance of AI models to deliver measurable impact for enterprise customers.
• Build robust experimentation frameworks, including A/B testing, causal inference, and advanced statistical validation, to guide algorithmic and product decisions.
• Partner with engineering teams to ensure models are deployed efficiently, monitored effectively, and optimized for production performance.
• Collaborate closely with product managers, AI specialists, and client-facing teams to align data science initiatives with customer needs and business goals.
• Stay ahead of emerging trends in AI and GenAI, recommending innovations and best practices.
• Contribute thought leadership by publishing research, presenting at conferences, and mentoring peers.
• Serve as a technical leader and role model: low-ego servant leadership, cross-team collaboration, player-coach mentality, and business-oriented problem solving.

Staff Data Scientist

• Define and own the company’s data science strategy, aligning AI and analytics with business priorities
• Lead, mentor, and develop a team of data scientists and foster a culture of experimentation and excellence
• Oversee design, validation, and deployment of advanced statistical, machine learning, and generative AI models for marketplace matching, recommendations, and predictive analytics
• Build strong experimentation practices including A/B testing, causal inference, and statistical validation
• Collaborate with engineering, product, and client-facing teams to integrate models into production and client solutions
• Drive thought leadership via industry forums, academic collaborations, and strategic partnerships
• Monitor emerging AI and marketplace trends and steer team toward high-value innovations
• Ensure data science initiatives are delivered on time, on budget, and with measurable business impact

Director of Data Science

• Drive revenue growth and manage customer relationships within DoD Army accounts in assigned territory
• Collaborate with Business Development, Marketing, Professional Services, and Customer Success to develop and implement territory plan
• Lead inbound and outbound sales efforts and accelerate strategic sales initiatives
• Manage entire sales process from lead generation to closing deals with Federal/DoD Army business customers
• Establish and nurture trust-based relationships with senior-level professionals
• Identify mission partners' strategic objectives and corresponding capability and skills requirements
• Build and maintain a robust sales pipeline, accurately forecast, penetrate new accounts, and drive relationship-based selling