The Data Scientist will apply statistical modeling, data mining, and NLP techniques to analyze complex public sector problems. Responsibilities include data pre-processing, feature engineering, model development, validation, and visualization of results.
Analytica
12 Remote Job Openings at Analytica
Artificial Intelligence/Machine Learning (AI/ML) Engineer
Analytica
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Full Time
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a day ago
Analytica
Develop, train, deploy, and monitor machine learning and AI models while building MLOps pipelines for governance and versioning. Collaborate with cross-functional teams to operationalize AI capabilities and integrate solutions into enterprise applications and workflows.
The Principal Analytics Lead will provide leadership and coordination for a mission-critical IRS fraud analytics program. Responsibilities include aligning contractor activities with government priorities and translating analytical findings into actionable recommendations for senior leaders.
The consultant will provide domain expertise to guide analytical development, model interpretation, and operational decision-making for fraud detection. They will also analyze fraud schemes and filing behaviors to support the refinement of predictive models and stakeholder reporting.
Develop and maintain AI-enabled applications, including NLP pipelines and Generative AI solutions for government clients. Build and integrate backend APIs and microservices while developing front-end user interfaces.
The role involves developing and maintaining secure, scalable data pipelines and platform services within the AWS and Databricks ecosystem. Responsibilities include supporting enterprise data ingestion, transformation, and implementing data governance controls using tools like Unity Catalog.
Lead the development and deployment of advanced analytics, machine learning, and generative AI solutions to address complex business challenges. Collaborate with stakeholders to translate requirements into technical solutions and deliver actionable insights for data-driven decision-making.
The role acts as a bridge between clinical stakeholders and technical teams to translate healthcare needs into technical requirements. Key duties include managing ETL processes, SQL development, and creating data visualizations for decision-making.
Lead the design, development, and delivery of mission-critical enterprise applications for federal government programs. Oversee the full software development lifecycle, including release planning, O&M activities, and technical mentorship of junior developers.
The role involves applying statistical programming and NLP techniques to analyze public sector problems through data pre-processing, feature engineering, and modeling. Responsibilities include developing scalable NLP solutions and presenting insights to address organizational business challenges.
The role involves developing, maintaining, and enhancing legacy mainframe applications supporting IRS tax processing, compliance, and data management systems using Assembler and JCL. Responsibilities also include monitoring batch jobs, debugging production issues, managing code changes via Endevor, and ensuring compliance with IRS standards.
The Metadata Analyst will manage day-to-day activities to ensure catalog and metadata processes run smoothly, answer queries from various teams, and complete metadata audits. They will also help define requirements and standards for the metadata repository and reconcile collected data with authoritative metadata sources.