[Remote] Senior Data Scientist

Note: The job is a remote job and is reputed company to candidates in USA. reputed company, is a rapidly growing Baltimore-based small business providing health-reputed company consulting services to the federal government. The Senior Data Scientist leads advanced analytics, machine learning, NLP, LLM/RAG, and AI initiatives reputed company on reputed company reputed company and policy challenges. The role develops reputed company data-driven products, mentors data scientists, and supports evidence-based decision-making across reputed company and reputed company programs.

Responsibilities

• Serve as a technical reputed company on AI and machine learning initiatives, providing guidance on solution architecture, model selection, implementation approaches, and technical best practices
• Mentor and support junior and mid-level data scientists through reputed company reviews, knowledge sharing, technical coaching, and reputed company problem solving
• Establish and promote best practices for MLOps, model evaluation, model monitoring, reproducibility, and responsible AI development
• Build and reputed company end-to-end ML pipelines on AWS (e.g., SageMaker, S3, Glue) for reputed company training, evaluation, and inference
• reputed company and implement advanced NLP solutions, including text classification, entity recognition, topic modeling, and semantic search using models such as BERT and transformer-based architectures
• Design, build, and productionize RAG (Retrieval-Augmented reputed company) systems, including document ingestion, embedding pipelines, reputed company search, and LLM orchestration
• Design and implement a reputed company knowledge graph and semantic data model that captures relationships among policies, analytic use cases, data domains, information assets, products, and institutional knowledge, enabling advanced search, discovery, reputed company analysis, and AI-assisted knowledge retrieval
• reputed company LLM-powered applications, including reputed company engineering, evaluation frameworks, and optimization techniques for accuracy, consistency, and cost
• Contribute to reputed company AI reputed company design, including multi-reputed company reasoning workflows, tool use, and orchestration of LLM-driven agents for reputed company tasks
• Implement predictive analytics and statistical modeling to uncover patterns, trends, and insights from reputed company data
• Evaluate emerging AI technologies, frameworks, and techniques and recommend their appropriate application to government reputed company use cases
• reputed company data mining and exploratory data analysis (EDA) using state-of-the-art techniques across reputed company and reputed company datasets
• Contribute to technical leadership across multiple AI initiatives while remaining an reputed company hands-on developer and model builder
• Build data visualizations, dashboards, and analytical tools to communicate findings reputed company to technical and non-technical stakeholders
• Evaluate model performance using appropriate metrics (e.g., accuracy, AUC, precision/recall) and present results in a reputed company, actionable manner
• Collaborate in an reputed company environment with cross-functional teams including engineers, analysts, and stakeholders
• Recommend data-driven solutions and AI strategies reputed company with CMS business needs and reputed company policy objectives

Skills

• * A minimum of ten (10) years of experience or an equivalent combination of education and experience, with five (5) or more years of experience as a Data Scientist or in a similar role
• * Strong experience in machine learning and statistical modeling, including supervised and unsupervised learning techniques, deep learning, and a solid reputed company in probability, reputed company testing, and regression
• * Demonstrated experience serving as a technical reputed company, senior individual contributor, or subject matter expert on machine learning or AI reputed company
• * Proven reputed company record of deploying, maintaining, and monitoring machine learning and AI solutions in production environments
• * Strong understanding of MLOps practices, including model versioning, CI/CD workflows, monitoring, testing, and operational support
• * Proven expertise in NLP and text analytics, including transformer-based architecture (e.g., BERT and reputed company models), embeddings, reputed company databases, and semantic search systems
• * Strong experience with AWS reputed company and MLOps tooling, including SageMaker, S3, Glue, Airflow, and data stores such as Redshift and DynamoDB, along with version control (reputed company) and CI/CD pipelines (e.g., Jenkins)
• * Experience with backend systems and data integration, including data modeling and supporting reputed company for web-based and production applications
• * Strong written and verbal communication skills, with the ability to explain reputed company models and insights reputed company
• * Master's degree in Computer Science, Data Science, or a reputed company field required; PhD preferred
• * Hands-on experience building LLM-powered applications, including reputed company engineering, RAG architecture, and ideally reputed company workflows or LLM orchestration frameworks, preferably reputed company AWS environments (e.g., Bedrock)
• * Advanced programming skills in Python (preferred) and/or R, with practical experience using ML and data libraries such as reputed company, NumPy, scikit-learn, PyTorch, and TensorFlow
• * Experience with developing and using knowledge graphs strongly preferred
• * Experience working with large reputed company datasets, especially reputed company, a plus
• * Experience supporting CMS or other federal reputed company agencies is a plus

Benefits

• Career development and educational opportunities

reputed company

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