Senior Data Scientist - Active Secret Clearance

Job Description

Job Description

Location: Washington, DC (Hybrid)
Clearance Required: Active Secret
Position Type: Full-Time

We are seeking a highly skilled Senior Data Scientist to support enterprise data and analytics initiatives for our federal client. The ideal candidate will bring expertise in AI/ML development, advanced analytics, and automation to deliver mission-focused solutions. This role will involve providing technical leadership, developing predictive models, and collaborating with cross-functional teams to ensure analytics capabilities are scalable, secure, and aligned with enterprise objectives. Strong proficiency with Python, AI/ML frameworks, and RPA tools is required.

Primary Responsibilities:

• Provide technical leadership on enterprise analytics and AI/ML solutions.
• Design, develop, and deploy machine learning models and predictive analytics.
• Utilize Python, Anaconda, and Jupyter notebooks for modeling and prototyping.
• Collaborate with Data Engineers to integrate models into scalable data pipelines.
• Support data governance activities including tagging, metadata management, and secure sharing.
• Develop RPA solutions to automate business processes.
• Evaluate and recommend analytics products to ensure mission alignment.
• Communicate findings through dashboards, data visualizations, and technical reports.

Requirements

Minimum Qualifications:

• Active Secret clearance (required at time of application).
• Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, or a related field.
• 7+ years of professional experience in data science, AI/ML, and advanced analytics.
• Strong proficiency with Python, Anaconda, and Jupyter notebooks.
• Expertise in AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Experience with RPA tools (UiPath, Automation Anywhere, or Python-based automation).
• Familiarity with Databricks, Apache Spark, and SQL.
• Excellent communication, documentation, and stakeholder engagement skills.

Preferred Qualifications:

• Experience supporting federal or regulated environments.
• Knowledge of MLOps practices for deploying and managing ML models at scale.
• Background in data governance and enterprise metadata management.

Eligibility:

• Must be legally authorized to work in the United States without employer sponsorship, now or in the future.
• Active Secret clearance required for this role.

Benefits

Salary: Competitive, commensurate with experience.