Senior Data Scientist
Actively Hiring
Full-time Posted about 2 months ago
Responsibilities
- check_circle Lead the design, development, validation, and deployment of machine learning and AI solutions.
- check_circle Conduct applied research and develop analytical approaches to solve complex mission challenges.
- check_circle Design and execute studies using large-scale structured and unstructured datasets.
- check_circle Develop statistical models, predictive analytics solutions, and advanced analytical methodologies.
- check_circle Advise program leadership on technical strategies, emerging technologies, and analytical best practices.
- check_circle Deliver analytical findings through reports, visualizations, dashboards, and executive briefings.
- check_circle Lead model validation, quality assurance, and technical review activities.
- check_circle Mentor data scientists and analysts while providing technical leadership across project teams.
- check_circle Collaborate with stakeholders to identify mission gaps and data-driven solutions.
- check_circle Support strategic planning and capability development initiatives.
- check_circle Participate in Agile development activities and cross-functional team collaboration.
- check_circle Data Science
- check_circle Statistics
- check_circle Applied Mathematics
- check_circle Computer Science
- check_circle Operations Research
- check_circle Artificial Intelligence
- check_circle Machine Learning
- check_circle Or a related quantitative discipline
- check_circle Ten (10) years of experience in applied research, big data analytics, statistics, data science, computer science, operations research, or related quantitative disciplines.
- check_circle Seven (7) years of direct machine learning experience.
- check_circle Experience developing and deploying machine learning models in production environments.
- check_circle Experience leading technical teams and advanced analytics initiatives.
- check_circle Experience working with large-scale datasets and complex analytical problems.
- check_circle Experience presenting technical findings to executive and stakeholder audiences.
- check_circle Expertise in machine learning, artificial intelligence, statistical modeling, and data mining.
- check_circle Strong understanding of model validation and analytical evaluation techniques.
- check_circle Ability to communicate complex technical concepts to technical and non-technical audiences.
- check_circle Strong leadership, mentoring, consulting, and problem-solving skills.
Preferred qualifications
- Experience supporting CBP, DHS, defense, intelligence, law enforcement, or trade enforcement missions.
- Experience with trade analytics, fraud detection, risk scoring, targeting, or investigative analytics.
- Experience with Natural Language Processing (NLP), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Explainable AI, and MLOps.
- Experience with Databricks, Spark, AWS GovCloud, Azure Government, and cloud-native analytics platforms.
- Python
- SQL
- R
- Spark
- Databricks
- TensorFlow
- PyTorch
- Scikit-Learn
- Power BI
- Tableau
- Git
- Agile Methodologies
- Active Top Secret security clearance required.
- Ability to obtain and maintain access to DHS and CBP systems and facilities.
Benefits
- check_circle 100% Employee-Owned (ESOP)
- check_circle Remote Work Flexibility
- check_circle Meaningful National Security Mission
- check_circle Career Growth and Leadership Opportunities
- check_circle Exposure to Advanced AI and Analytics Technologies
- check_circle Collaborative and Innovative Culture
- check_circle Professional Development Opportunities
- check_circle Competitive Compensation and Benefits
Tags & Focus Areas
Fulltime Remote Ai Machine Learning Data Science