Senior Data Scientist

About the role

We are seeking an experienced Senior Data Scientist to develop and validate interpretable analytical signals for spending, concentration, duplication, and policy alignment for a Federal data analytics and AI modernization initiative.

The team will deliver a secure, scalable platform that integrates structured and unstructured data, provides data visualization and traceable AI-assisted analytics, and gives examiners centralized tools for search, review, monitoring, and decision support. The platform will support professional judgment and will not replace authoritative agency financial or grants-management systems or execute financial transactions.

Analytica has been recognized by Inc. Magazine as the fastest-growing private US small business. We work with U.S. government customers in health, civilian, and national security missions. As a core member you’ll work with a diverse team of professionals to solve matters, architect nuisances, and come up with alternatives. We offer competitive compensation with opportunities for bonuses, employer paid health care, training and development funds, and 401k match.Key Technical Responsibilities

Design, develop, and maintain data pipelines and ETL/ELT workflows supporting machine learning, NLP, retrieval, and advanced analytics

Prepare, transform, curate, and validate structured and unstructured grants and financial data for AI/ML applications

Perform feature engineering, document processing, chunking, embeddings generation, and dataset preparation for AI-assisted analytics and retrieval workflows

Develop reproducible data transformations and workflows using Python, SQL, and applicable data engineering technologies

Implement and maintain data quality, validation, provenance, lineage, versioning, metadata, and source traceability throughout the data lifecycle

Prepare and integrate data for search, retrieval-augmented generation (RAG), visualization, analytics, and AI-assisted decision support

Troubleshoot data pipeline, transformation, integration, and data-quality issues across development and testing environments

Collaborate with multidisciplinary data engineering, data science, software engineering, and AI/ML teams during iterative development and testing

Develop technical documentation covering data architecture, pipelines, transformations, schemas, features, embeddings, dependencies, and operational procedures

Support deployment and operation of data engineering capabilities within secure Federal, on-premises, cloud, or hybrid environments

Ensure data engineering solutions comply with Federal security, privacy, accessibility, records-management, data-ownership, and governance requirements

Required Technical Qualifications

Demonstrated experience building, integrating, and operating data pipelines for machine learning, NLP, information retrieval, or advanced analytics

Hands-on experience with feature engineering, document processing, embeddings, curated datasets, data transformation, and reproducible data workflows

Strong proficiency in Python and SQL for data engineering, data transformation, automation, and model-support workflows

Experience working with structured and unstructured data and preparing data for AI/ML or analytics applications

Experience implementing data quality controls, data validation, provenance, metadata, versioning, lineage, and source traceability for AI/ML or data-intensive systems

Experience troubleshooting and optimizing data pipelines, integrations, transformations, and data-processing workflows

Ability to develop clear technical documentation covering data pipelines, schemas, transformations, dependencies, and operational processes

Strong technical communication, problem-solving, and cross-functional collaboration skills

U.S. citizenship and ability to obtain and maintain Top Secret eligibility, as required for contractor personnel supporting the effort

Active Top Secret clearance highly preferred.

Preferred Technical Qualifications

Experience with Federal financial, grants, budget, payment, award oversight, or financial reporting data

Experience delivering solutions in secure Federal, on-premises, cloud, or hybrid environments

Experience with Linux

Experience with PostgreSQL and/or Microsoft SQL Server

Experience with Java and/or .NET

Familiarity with Jenkins and CI/CD pipelines

Experience with self-hosted Azure DevOps

Experience with Kubernetes and/or Rancher

Familiarity with open-source AI/ML models

Experience with RAG, vector databases/search, semantic search, or embeddings pipelines

Familiarity with Federal data governance, security, privacy, accessibility, and records-management requirements

About ANALYTICA: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. Founded in 2009 and headquartered in Bethesda, MD, the company is an established SBA small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider.