> Markdown version of [/jobs/ext/2941985-data-scientist](https://www.wearedevelopers.com/jobs/ext/2941985-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** jazzhr - **Location:** Bethesda, MD, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), .NET Framework, Artificial Intelligence, Business Analytics Applications, Data Analysis, Microsoft Azure, Cloud Computing, Data Architecture, Data Validation, Information Engineering, Data Governance, Data Transformation, Decision Support Systems, Linux, Iterative and Incremental Development, Information Retrieval, Python (Programming Language), PostgreSQL, Machine Learning, Metadata, Microsoft SQL Server, Natural Language Processing, Open Source Technology, Search Technologies, Software Engineering, SQL Databases, Unstructured Data, Management of Software Versions, Data Processing, Feature Engineering, Kubernetes, Information Technology, Rancher, Data Pipelines, Jenkins - **Published:** September 16, 2026 - **Apply:** https://analyticallc.applytojob.com/apply/upCWYarTXj/Senior-Data-Scientist?source=GS ## About the Role * 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. ## Description 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 ## Related Videos - [A solution to embed container technologies into automotive environments](https://www.wearedevelopers.com/videos/736-a-solution-to-embed-container-technologies-into-automotive-environments) - [GitLab CI pipelines for a whole company](https://www.wearedevelopers.com/videos/143-gitlab-ci-pipelines-for-a-whole-company) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Our GitOps approach for deploying an Identity Provider and an API Gateway in a SaaS company](https://www.wearedevelopers.com/videos/776-our-gitops-approach-for-deploying-an-identity-provider-and-an-api-gateway-in-a-saas-company) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)