Data Scientist

As a Data Scientist, you are the lens through which complex data becomes actionable intelligence. We are looking for a curious, analytical mind capable of uncovering patterns within massive datasets to solve the nation’s most challenging security problems. You won’t just be running models; you will be a strategic storyteller, using data to drive innovation and provide clarity in high-stakes environments.

This role will support and represent LufCo with our industry partners within the Ft. Meade market. At LufCo, you’ll do more than fill a role—you’ll help build what’s next. We offer a people-first, agile environment where your ideas are valued, your impact is visible, and your work directly supports meaningful, mission-driven outcomes. We believe in empowering our scientists with autonomy to explore new methodologies and the support to see them through to production.

• →Predictive Modeling: Design and implement advanced machine learning algorithms and frameworks to automate decision-making and build high-fidelity predictive models.
• →Advanced Analytics: Apply rigorous statistical methods—including regression, hypothesis testing, and probability distributions—to extract deep insights from mission-critical data.
• →Data Wrangling: Transform, clean, and organize complex, disparate raw data into high-quality, usable formats ready for sophisticated analysis.
• →Database Management: Efficiently extract and manipulate data across both relational and non-relational systems to support analytical workflows.
• →Data Storytelling: Create compelling visualizations and interactive dashboards that translate technical findings into clear, impactful narratives for stakeholders.

Education & Experience:

• B.S. Degree in Data Science, Mathematics, Statistics, or a related technical field with 1-10 years of experience.

OR

• 9–14 years of professional experience in data science or analytical roles in lieu of a degree

• Programming: Expert proficiency in Python (NumPy, pandas) for general manipulation and R for statistical depth.
• Machine Learning: Hands-on experience with frameworks such as TensorFlow and Scikit-Learn.
• Data Systems: Proficiency in SQL and experience with database management systems like PostgreSQL or MongoDB.
• Visualization: Skilled in communicating findings via tools such as Tableau, Matplotlib, or similar dashboarding platforms.

• Ability to travel as required.
• Standard office environment with occasional visits to client sites, labs, or field environments.