Lead Data Scientist

Lead Data Scientist

Description Lead Data Scientist At B&A, we foster and embrace a distinct set of values that we live by and instill in all aspects of our organization: dedication, commitment, partnership, trust, and recognition. We have incorporated these values into successful delivery for our customers since 1988. B&A believes in ensuring its employees feel deeply connected to B&A, recognizing successes and hard work, and providing continuous opportunities to learn and grow. Our people are entrepreneurial thinkers that combine mindset, vision, and experience to drive value - not only to us as an organization, but to the clients we support. We promote a collaborative culture with our clients, and with each other, as one team working towards a common vision. We'd love for you to join our team!Job SummaryWe 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. This role provides technical and management leadership on major advanced data science assignments, developing advanced algorithms, models, and frameworks using machine learning, deep learning, natural language processing, and generative AI / large language models. The Lead Data Scientist ensures AI/ML products are safe, trustworthy, explainable, and compliant with the NIST AI Framework and Census Bureau policies. Decision-making and domain knowledge may have a critical impact on overall program implementation. May supervise others. ResponsibilitiesDevelop advanced algorithms, models, and frameworks leveraging machine learning, deep learning, neural networks, natural language processing, and generative AI / large language models (LLMs) 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 Develop descriptive and predictive models for survey efforts, including time series, anomaly detection, semi-supervised, active, and reinforcement learning frameworks Conduct data cleaning, filtering, transformation, and feature engineering to create machine-learning-ready datasets Create, maintain, and use synthetic data to support the full lifecycle of advanced data science Follow AI regulation and ethical principles in accordance with the NIST AI Framework to manage AI risk and ensure model trustworthiness Ensure AI products are safe, secure, explainable, interpretable, privacy-enhanced, fair, valid, reliable, accountable, and transparent Develop, document, and test prototypes and proofs-of-concept leveraging advanced data science Evaluate trained models with multiple performance metrics, appropriate test sets, and learning curves Develop and maintain data science documentation, including analysis plans, technical reports, user manuals, and best-practice templates Education and ExperiencePhD in Data Science, ...For full information see follow application link. B&A provides 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. B&A complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy covers conduct occurring at B&A's offices, and other workplaces (including client sites) and all other locations w B&A is providing services, and to all work-related activities.