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Hiring Process at Analytica

At Analytica, we follow a structured hiring process to ensure we select the best candidates for our team. Here is an overview of our hiring process:

Recruiter's Call: The process begins with a recruiter reaching out to potential candidates. During this initial call, the recruiter will provide an overview of the position and gather preliminary information about the candidate's background and experience.

Criteria Assessment: Criteria Assessment is a quick, online test that helps the hiring team understand the candidate's skills, problem-solving ability, and work style to ensure the best fit for the role. It takes about 20 minutes and can be completed anytime on any device, phone or computer—no special preparation needed.

Rounds of Interviews: Based on the initial call and the hiring manager's approval, the recruiter will establish direct interviews with the team. There may be multiple rounds of interviews that is designed to assess the candidate's qualifications, skills, and fit for the role.

Final Decision: After the interviews, the hiring team will review the candidate's performance and make a final decision. If the team decides to present an offer, the recruiter will directly call the candidate to discuss details such as salary, benefits, start date, etc. Others will also be notified through email or a call.

Use of AI in the Hiring Process

To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.

Application Review: AI tools may help identify skills and experiences relevant to the role.
Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.

By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.

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Senior Data Scientist

Bethesda, MD

Full Time

Manager/Supervisor

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.

Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.

To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.

Application Review: AI tools may help identify skills and experiences relevant to the role.
Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.

By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.

When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

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