Data Scientist with Security Clearance

Title: Data Scientist Location: Ft. Meade, MD Clearance: TS/SCI Description: Invictus, a Red River company, delivers technology and services supporting government and national security missions. We combine cleared mission expertise with enterprise engineering, technology partnerships and large-program execution in support of advanced modernization, cybersecurity, intelligence and systems integration. Our teams support complex operational environments across the U.S. and around the world, helping customers strengthen resilience, accelerate mission outcomes and deploy capabilities that meet demanding mission requirements. Learn more at www. InvictusIC.com.

Responsibilities

• Assess existing data landscape and recommend improvements in data collection, storage, and processing methodologies.
• Develop and implement data preprocessing and cleaning techniques to ensure data quality and consistency.
• Design, develop, and apply advanced statistical and machine learning models to derive insights and support data-driven decision-making.
• Visualize and communicate complex data analyses, trends, and patterns to depa1tment stakeholders through interactive dashboards and rep01ts.
• Collaborate with subject matter expe1ts to identify and prioritize data analysis projects based on department objectives and available resources.
• Ensure compliance with federal government data privacy and security requirements, including FISMA and GDPR, when working with sensitive datasets.
• Continuously monitor and evaluate the performance of data models, recommending and implementing enhancements as needed.
• Stay current with emerging trends and best practices in data science and apply these learnings to improve processes and outcomes Requirements:
• Bachelor's degree in computer science, statistics, mathematics, or a related field and a minimum of 7 years' experience in data science, analytics, or a related field, with a focus on federal government environments
• Certified Data Scientist (CDS) or Professional Data Engineer (PDE)
• Proficiency in programming languages such as Python, R, or Java, and experience with data manipulation and analysis libraries (e.g., pandas, NumPy, or TensorFlow).
• Expertise in statistical and machine learning techniques, including regression, clustering, and classification algorithms.
• Strong data visualization skills, including experience with tools such as Tableau, Power BI, or D3.js.
• Excellent communication, collaboration, and problem-solving skills.
• Experience working with cloud-based data processing and analysis tools.
• Experience working with data visualization tools such as Tableau or Power BI.
• Active TS/SCI clearance required

Equal Opportunity Employer/Veteran/Disabled