Data Scientist

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.

Impersonation Scams

We would like to bring to your attention the increasing number of impersonation scams targeting organizations worldwide. These scams involve individuals pretending to be someone from the hiring team such as HR manager or recruiters, to deceive you into providing sensitive information or making unauthorized transactions.

To protect yourself, please follow these guidelines:

Verify the Sender: Always double-check the sender’s email address and contact details. If something seems off, do not hesitate to reach out to the person directly using a known and trusted communication method.

Be Cautious with Requests for Sensitive Information: Be wary of any unexpected requests for sensitive information, such as passwords, financial details, or personal data. Legitimate organizations will never ask for such information via email.

Look for Red Flags: Pay attention to any unusual language, spelling mistakes, or urgent requests that pressure you to act quickly. These are common signs of a scam.

Report Suspicious Activity: If you receive a suspicious email or message, report it immediately to our IT department. Do not respond or click on any links or attachments.

Stay Informed: Keep yourself updated on the latest scam tactics and best practices for cybersecurity. Regularly attend training sessions and read our security bulletins.

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

By staying vigilant and following these guidelines, we can help protect ourselves from impersonation scams., * 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., 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. Share

• 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., * 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.

Analytica LLC fully complies with all local and state regulations regarding the display of salary ranges. If required, the URL below is specifically for potential hires. The salary offered for a position is determined based on various factors, including applicants’ skills, job responsibilities, relevant experience, degrees, certifications, market considerations, and project financials. Our compensation packages include not only base salary but also a range of incentive bonus programs to reward outstanding performance and contributions.

Follow this link to obtain salary ranges by positions: Pay Transparency - Analytica

Review our open positions and apply to the positions that match your qualifications: Search All Openings, 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., Invitation for Job Applicants to Self-Identify as a U.S. Veteran

• A “disabled veteran” is one of the following:
• a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or
• a person who was discharged or released from active duty because of a service-connected disability.
• A “recently separated veteran” means any veteran during the three-year period beginning on the date of such veteran’s discharge or release from active duty in the U.S. military, ground, naval, or air service.
• An “active duty wartime or campaign badge veteran” means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.
• An “Armed forces service medal veteran” means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

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.