About this position
About Lucayan Technology Solutions LLC
At Lucayan Technology Solutions LLC, we deliver secure, innovative solutions in support of national defense and intelligence missions. As a trusted government contracting partner, we provide top-tier intelligence and technology services that safeguard our nation. Our team is mission-driven, and we are committed to building careers that matter.
📍 McLean, Virginia | 🕒 Full-Time | 🔒 TS/SCI with Polygraph | Onsite
Overview
Lucayan Technology LLC is seeking a talented Data Scientist to join our growing team in McLean, VA. As a Data Scientist with Lucayan, you will apply advanced data science techniques to extract insights from complex datasets, support mission-critical decision-making, and deliver innovative analytics for the Intelligence Community.
What You’ll Do
- Collect, clean, and analyze large, complex datasets from diverse sources.
- Develop and implement machine learning models, predictive analytics, and statistical algorithms.
- Evaluate and optimize models for accuracy and scalability.
- Communicate analytic insights and recommendations to stakeholders and leadership.
- Design visualizations, dashboards, and reports to present findings effectively.
- Collaborate with engineers, analysts, and mission teams to solve operational challenges.
- Stay up to date on data science and AI/ML trends to deliver innovative solutions.
Do You Have What It Takes?
Required:
- Active TS/SCI with Polygraph.
- Bachelor’s degree in a quantitative field (Data Science, Math, Statistics, Computer Science).
- 3+ years of experience in data science, analytics, AI/ML, or quantitative analysis.
- Proficiency with Python, R, SQL/PostgreSQL, GitLab.
- Hands-on experience analyzing large-scale datasets.
- Experience with Palantir Foundry/Gotham tools.
- Ability to convey complex data insights to non-technical audiences.
Preferred:
- Experience with telecommunications metadata analysis.
- Exposure to SIGINT, counterintelligence, or cyber operations.
- Familiarity with cloud platforms (AWS, Spark, Kafka).
- Experience with Agile project workflows (Scrum, Jira, Confluence).