Lead Data Scientist

Job Summary

We are seeking a Subject Matter Expert (SME)-level Lead Data Scientist to leverage cutting-edge techniques to extract insights and patterns from large and complex datasets for the U.S. Census Bureau’s Decennial Transformation and Application Modernization (DTAM) effort.

Responsibilities

• Develop advanced algorithms, models, and frameworks leveraging machine learning, deep learning, neural networks, natural language processing, and generative AI / large language models.
• Manage all activities to align with current advanced analytics and data science standards as defined by Decennial, the USCB, and industry best practices.
• Support the transition of advanced analytics and data science capabilities from pilot to production and maintain them in the production environment.
• Create, maintain, and use synthetic data to support the full lifecycle of advanced data science.
• Evaluate trained models with multiple performance metrics, appropriate test sets, and learning curves.
• Develop, document, and test prototypes and proofs-of-concept leveraging advanced data science.
• Develop and maintain data science documentation, including analysis plans, technical reports, user manuals, and best-practice templates.

Education And Experience

• PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field — mandatory
• 15+ years of experience providing technical and management leadership on major data science assignments (SME level)

Required Skills

• Expert proficiency in Python, R, SAS, and SQL and associated data science libraries and tools
• Demonstrated experience developing and operationalizing ML, deep learning, NLP, and generative AI / LLM models
• Strong background in predictive modeling, time series analysis, anomaly detection, and feature engineering
• Experience creating and using synthetic data and privacy-preserving data techniques
• Familiarity with the NIST AI Framework and responsible/ethical AI practices

Desired Skills

• Experience transitioning data science capabilities from pilot to production (MLOps / LLMOps)
• Familiarity with differential privacy, federated learning, and secure multi-party computation
• Experience with large-scale federal statistical or survey data programs

More About B&A

• Notable Clients: Department of Homeland Security, U.S. Customs and Border Protection, U.S. Senate, U.S. Courts, U.S. Census Bureau, U.S. Navy, and more.
• Benefits and Programs: Medical plans, dental coverage, vision, life & AD&D, disability, accident, hospital indemnity, and critical illness insurance; paid time off; trainings and certifications; pet insurance benefits; commuter transit benefits; virtual exercise platform subscription; 401(k) plan; wellness challenges; mentorship program; job shadowing and cross training opportunities; Brand Ambassador program; Employee Assistance Program (EAP); annual wellness challenges.
• EEO: Equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws.