Data Scientist Location: Arlington, VA United States Job Description: General Information Requisition # 693 Locations USA-VA-Arlington Posting Date 05/06/2026 Security Clearance Required - Active Public Trust Remote Type Hybrid (Washington DC Metro) Time Type Full time Description & Requirements Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Data Scientist to join our team in Arlington, VA. This is a hybrid position with several days onsite per month as needed. You'll support a U.S. federal civilian agency that serves as the central authority on human capital across the federal workforce, helping advance strategic goals around modernizing its use of data, building a stronger analytics workforce across government, delivering trusted human-capital data products to agencies and employees, and strengthening data governance, privacy, and security. Responsibilities include but are not limited to: - Develop, deploy, and maintain production ML and NLP models that surface insights from large volumes of human-capital and workforce data, directly supporting decisions made by federal agencies, employees, and the public. - Build and modernize data products and pipelines that improve data access, integration, and quality across legacy and cloud-based systems. - Translate ambiguous policy and program questions into well-scoped analytical work, partnering with non-technical stakeholders and presenting results in ways decision-makers can act on. - Contribute to a modern, cloud-first technology stack (Azure ecosystem) that meets federal standards for security, privacy, and governance. - Help strengthen the client's internal data-science capability through pairing, code review, knowledge transfer, and reusable tooling. Minimum Qualifications: - 23 years of experience developing, deploying, and maintaining large-scale ML models in production using real-world data - Bachelors degree in mathematics, statistics, computer science, engineering, data science, or a related quantitative field - Hands-on experience building and evaluating NLP-based machine learning models - Strong Python skills for developing and automating ML models and data pipelines - Proficiency with collaborative development tools (VS Code, Git, GitHub Copilot) - Experience working in Agile teams to iteratively develop and deliver data products - Strong analytical, communication, and cross-functional collaboration skills, including translating ambiguous requirements into actionable solutions Preferred Qualifications: - Experience using Azure cloud products such as Azure Databricks, Azure DevOps, Azure OpenAI, and Azure AI Search. - Experience delivering data-science work in a federal or other regulated environment, with awareness of FedRAMP, FISMA, or similar compliance regimes. - Experience working with human-capital, workforce, survey, or other administrative-record data. - Experience with MLOps tooling and patterns for monitoring, retraining, and governing models in production. Clearance Requirements: - This role requires the ability to obtain and maintain a U.S. Public Trust clearance. U.S. citizenship or other status meeting the federal investigative requirements is required at the time of hire.

Role Description Profissional com experiência em desenvolvimento e arquitetura de soluções de Inteligência Artificial, com foco em Generative AI, automação de processos e criação de serviços escaláveis para plataformas globais. A atuação será em um programa modular, com forte colaboração entre times técnicos e de negócio, em modelo remoto. - Atuar no design e implementação de soluções GenAI para automação de processos internos e produtos voltados ao usuário final; - Desenvolver, testar e otimizar prompts para LLMs visando acurácia, confiabilidade e segurança; - Converter processos de negócio existentes em fluxos automatizados orientados por IA; - Colaborar com times de GenAI e serviços de segurança para identificar oportunidades de automação e evoluir capacidades de IA; - Construir pipelines de RAG e aplicações de IA baseada em agentes; - Prototipar, implantar e escalar modelos em produção integrados às plataformas e fluxos da organização; - Documentar boas práticas e contribuir para o compartilhamento interno de conhecimento em GenAI; - Apoiar iniciativas de capacitação interna sobre ferramentas e capacidades de GenAI. Qualifications - Experiência comprovada em engenharia de IA/ML com uso direto de Generative AI e LLMs; - Proficiência em Python e frameworks de ML como PyTorch e/ou TensorFlow; - Experiência prática com prompt engineering, fine-tuning, embeddings e bases vetoriais; - Conhecimento em serviços de segurança (autenticação, controle de acesso, WAF, IOC) e integração via APIs REST; - Sólidos fundamentos de Machine Learning, técnicas de NLP, arquiteturas de LLMs e integrações agente-a-agente; - Formação superior em Ciência da Computação, Data Science, Engenharia ou áreas correlatas. Requirements - Habilidade de comunicação e colaboração com públicos técnicos e não técnicos; - Transforme ideias em soluções criativas e busque qualidade em toda sua rotina; - Tenha habilidades de resolução de problemas; - Possua habilidade e se sinta confortável para trabalhar de forma independente e gerenciar o próprio tempo; - Tenha interesse em lidar com situações adversas e inovadoras no âmbito tecnológico. Benefits - Big enough to deliver – small enough to care. - #VempraGFT - #VamosVoarJuntos - #ProudToBeGFT

• Conduct advanced analyses and statistical deep dives, with a focus on producing actionable recommendations and strategic guidance for decision makers. • Develop and deploy custom models and algorithms using data and machine learning libraries to solve complex business problems. • Mine, clean, process, transform and join data from a variety of sources including SQL servers, AWS environments, Azure, SnowFlake, SalesForce, internal systems, and flat files. • Identify, wrangle, scrape, and assemble new data sources from the web, data aggregators, and public sources. • Build rich, interactive dashboards and visualizations from the ground up using PowerBI. • Compile and present key findings and reports to all levels of the organization, including senior leadership. • Continuously seek out opportunities to add value through process automation and programmatic solutions to manual tasks and monitor and improve Data Science model performance. • Act as a subject matter expert within the data science field. Continuously learn, grow, and explore new emerging technologies. (Stay up to date with industry trends and best practices. • Problem-solve, generate new ideas, and provide creative solutions. • Mentor, model, act as a resource, and provide guidance for more junior analysts and team members. • Lead development, testing and implementation of machine-learning models and algorithms using data and machine learning to solve complex business problems.

Role Description Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. With the advent of genomic sequencing, we can finally decode and process our genetic makeup; however, computer technology has had a limited impact in healthcare. With the expansion of multi-modal healthcare data and recent advancements in AI, that’s about to fundamentally change. Tempus is a healthcare technology company at the forefront of that change, leveraging data and technology to improve patient lives. The Scientific and Technical Solutions team is seeking a driven, intellectually curious member to bridge the gap between our cutting-edge analytical platform and the complex research questions of our clients. This role is central to client success and adoption of the Tempus Data and the Lens Platform. You will serve as the primary technical and scientific resource, ensuring our clients can seamlessly integrate their research with our data and platform to derive meaningful, scientific answers. Key Responsibilities: - Client Onboarding & Education: Lead the technical and scientific onboarding process for new clients, ensuring a smooth transition into the Tempus Data Ecosystem and our analytical platform, Lens. - Scientific Problem Solving: Engage with clients (primarily researchers and scientists) to deeply understand their specific scientific hypotheses and questions (e.g., biomarker discovery, target identification, clinical trial design). - Platform Guidance & Solutioning: Translate the client's scientific needs into actionable steps on the Tempus analytical platform. This includes designing workflows, structuring queries, and guiding the analysis of complex datasets (genomic, clinical, imaging). - AI-Assisted Optimization: Leverage LLMs and co-pilot tools to accelerate internal development and create specialized agents that help clients navigate and derive insights from large-scale biomedical data, and make the client experience on the platform as easy, efficient, and intuitive as possible. - Feedback Loop: Act as the voice of the client, collaborating closely with Tempus Product, Engineering, and Data Science teams to prioritize features and resolve technical challenges. - Documentation & Training: Create high-quality technical documentation, tutorials, and training materials for clients on platform features and best practices for scientific analysis. Qualifications - A Master’s or Ph.D. in a relevant scientific field (e.g., Computational Biology, Bioinformatics, Genomics, Data Science, or a related life science discipline). - Demonstrated experience working with and analyzing large-scale biomedical datasets (e.g., Next-Generation Sequencing data, clinical trial data, real-world data). - Experience working with statistical modeling, data mining and/or machine learning methods. - Hands-on experience with analytical tools and languages relevant to biomedical research. Must be fluent in Python or R. If Python is the primary language, having some R coding experience is required. Being comfortable in both languages is an added bonus. - Experience with software development and the AWS or GCP technical stack. - Experience with engineering practices for research computing (Docker, Git, Github, Linux, cloud computing). - Demonstrated proficiency with AI-assisted development tools (e.g., GitHub Copilot in VS Code) to optimize coding efficiency and troubleshooting. - Experience building specialized AI agents or designing workflows that utilize LLMs to solve complex technical problems. - Experience putting data science workflows into production. - Proven ability to work collaboratively in a team environment and thrive in a fast-paced environment, willing to shift priorities seamlessly. - Excellent written and verbal communication skills with a proven ability to explain complex technical and scientific concepts to both technical and non-technical audiences. - A strong track record of identifying inefficiencies or scientific roadblocks and developing pragmatic, user-friendly solutions. Requirements - Experience in the biotech, pharma, or healthcare technology space. - Direct experience with oncology research. - Experience with: Pandas, NumPy, SciPy, Scikit-learn, Jupyter Notebooks, RStudio, R Package development, tidyverse, ggplot, Git, matplotlib, seaborn, HTML5, CSS3, JavaScript, D3, Plot.ly, Flask, Dask. Benefits - $100,000-175,000 - The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. - Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position. Company Description We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.