Data Scientist

• Analyzing complex processes from an enterprise perspective.
• Assessing operations, identifying opportunities for enhancement, and developing solutions.
• Evaluating alternative concepts using mathematical models, simulation tools, and supply chain theory.
• Documenting functional capability requirements for subsequent use as the basis for software development.
• Conducting and documenting results from functional software tests.
• Performing studies and analyses and generating technical documentation of the results.
• Creating and presenting briefings to communicate findings and recommendations.
• Design a methodology and validate it by writing code in Python and run analysis.
• Project to involve advanced data analytics and emerging technologies, working with data science and business experts.
• Have the chance to collaborate with passionate scientists and engineers on exciting problems including recommendations, personalization, search engine marketing.
• Research, analyze, present results, and recommend intelligent solutions to solve problems and address business challenges by applying a knowledge of data analysis, critical-thinking skills, and intel experience/expertise.
• Structure analytical results in an organized, visual manner to tell a meaningful, actionable story.
• Develop, implement and revise detailed analysis.
• Use your experience in analytics tools and scientific rigor to produce actionable insights.
• Collaborate with business leaders, subject matter experts, and decision makers to develop success criteria and optimize new products, features, policies, and models.

Data Science, Intern

Software Engineer

• Analyzing complex processes from an enterprise perspective.
• Assessing operations, identifying opportunities for enhancement, and developing solutions.
• Documenting functional capability requirements for subsequent use as the basis for software development.
• Conducting and documenting results from functional software tests.
• Performing studies and analyses and generating technical documentation of the results.
• Contributing to software development / programming efforts.

Software Development Intern, FIU Students

Consultant

• Develop repeatable data ingestion and transformation logic to standardize and prepare data for analytics
• Design, rapidly prototype, and implement one or more Power BI semantic models integrating multiple contact center technologies and CRM platforms.
• Build and maintain Power Query (M) pipelines to transform raw and conditioned data into standardized fact and dimension tables.
• Incorporate DAX measures for call center KPIs (ex. AHT, ASA, abandonment, CSAT, volume, etc.) that support process analysis, value stream analysis, and service blueprint development.
• Create user friendly dashboards and visualizations that show (at a minimum): Which business processes are supported at each call center, Which technologies support each channel and process, Where technology overlap or redundancy exists
• Optimize Power BI models for performance, scalability, and refresh reliability.
• Document data models, metrics, and ETL logic for stakeholders.
• Coordinate Section 508 compliance tracking between Genesys and VA, ensuring deliverables meet VA accessibility requirements.
• Assess design team and customer data needs and help find ways to add value.

Business Data Consultant

Full-stack Engineer

• Design, implement, and maintain analytical models within our M&S capability called RAPTR.
• Perform testing and validation of models and code to ensure accurate outputs.
• Perform operations research analyses with RAPTR to answer client questions and recommend efficient courses of action.
• Participate in client meetings to understand requirements and to brief your technical findings and analyses.
• Collaborate with other RAPTR software engineers, modelers, and analysts to optimize performance for large-scale simulations.
• Implement monitoring, logging, and alerting to ensure system reliability and availability.
• Troubleshoot issues across cloud infrastructure, networks, and simulation workloads.
• Stay current with advances in cloud technologies and recommend improvements to enhance RAPTR capabilities.

Modeling & Simulation Software Developer

Support Engineer

• Perform all required responsibilities and duties in accordance with LMI/MRSS policies and procedures.
• Actively engage in your role, make informed decisions, be accountable for all outcomes, critically think, and be a positive influence for LMI/MRSS.
• Deliver exceptional service to internal and external clients, partners, teammates.
• Support and facilitate the government-client with the in-take, validation, and compliance review of all peer-reviewed scientifically based merit proposals.
• Analyze and disseminate data regarding program support.
• Interface with internal and external peer-review program participants to coordinate and provide consultation on overall activities to support government-client goals.

Program Support Analyst

Analyst

• You will support a wide range of actions, such as title research, tracking, managing, data organization, and document repository management, in support of real estate actions related to acquisition, permitting, leasing and licensing in support of new construction and maintenance and repair of our client’s infrastructure and technology systems and their supporting infrastructure.
• You will help our client manage its real estate portfolio.
• This entails evaluating client requirements and identifying and executing real estate requirements.
• You will support real estate specialists in their preparation for and negotiation of land acquisitions and other land-use agreements such as licenses and leases from private landowners and permits from other government agencies.
• In addition, you will support meetings to develop and execute appropriate real estate strategies.
• Specific responsibilities: Perform title research utilizing multiple primary and secondary data sources Manage the inputs to digital tracking tools and document repositories Track and manage the supporting documents for real estate actions Prepare decision briefs and appropriate real estate documents Develop project schedules and timelines

Real Estate Analyst

Data Engineer

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Machine Learning Engineer

• Develop and implement statistical and machine learning models supporting readiness assessment, performance analysis, and injury-risk awareness.
• Apply appropriate analytic methods based on data characteristics, scientific guidance, and Government priorities.
• Ensure analytic approaches are transparent, interpretable, and suitable for operational decision support.
• Support validation, testing, and refinement of analytic models under Government and senior scientific direction.
• Assess model performance, limitations, assumptions, and potential bias.
• Collaborate with epidemiologists and research psychologists to ensure analytic outputs align with scientific intent.
• Work with data engineers to support feature development, data preparation, and analytic dataset construction.
• Assist in identifying data quality issues that may impact model performance.
• Ensure analytic inputs align with approved data definitions and governance standards.
• Collaborate with software teams to support integration of analytic outputs into dashboards, reports, and user-facing decision-support tools.
• Support development of repeatable analytic workflows and documentation.
• Assist in troubleshooting analytic issues in coordination with data and software teams.
• Contribute to documentation of analytic methods, assumptions, limitations, and results.
• Support preparation of analytic summaries, briefings, and materials for Government stakeholders.
• Clearly communicate analytic findings in a manner appropriate for non-technical audiences.

AI/ML Engineer

Risk

• Support development and implementation of data governance practices for data used across H2FMS analytics, research, and reporting.
• Assist in defining data ownership, stewardship roles, and governance workflows under Government direction.
• Ensure governance practices align with H2F objectives and support cross-functional use of data.
• Support creation and maintenance of data definitions, data dictionaries, metadata, and reference standards.
• Ensure consistent use of data definitions across scientific, analytic, and software teams.
• Coordinate with data engineers and analysts to ensure metadata and documentation remain current and accurate.
• Assist in identifying and addressing data quality issues, including completeness, consistency, and usability.
• Support definition of data lifecycle practices, including data onboarding, updates, retention, and archival under Government guidance.
• Help ensure data used for analytics and decision support is traceable and well-documented.
• Coordinate with analytics, research, and software teams to ensure governance requirements are understood and implemented.
• Support translation of scientific and analytic data needs into governance artifacts and documentation.
• Assist the TPM in tracking governance-related tasks, dependencies, and deliverables.
• Contribute to governance documentation, standard operating procedures, and reference materials.
• Support adherence to applicable Government data governance, privacy, and usage requirements.
• Assist with preparation of briefings and materials that communicate data governance practices to stakeholders.

Data Governance Specialist

• Take the lead in developing and updating the backend code for diverse Python-based applications, ensuring high performance and scalability.
• Write, design, and implement robust, clean Python code that drives our applications forward.
• Develop and conduct unit tests for product components, maintaining a commitment to quality and reliability.
• Work closely with our software development team using GitLab to enhance collaboration and streamline workflows.
• Regularly meet with internal managers and external customers to discuss software challenges and collaboratively devise innovative solutions.
• Write original code and refine existing codebases, ensuring all developments meet rigorous program requirements.
• Apply a methodical approach to documenting and testing your code, ensuring flawless functionality.
• Thrive in a flexible work environment, whether you’re driving initiatives independently or as an integral part of our team.

Full-Stack Engineer

• Analyze business and technical requirements to design scalable SharePoint-based solutions.
• Architect and implement custom SharePoint components, including workflows, web parts, and applications.
• Partner with business stakeholders and technical teams to ensure solution align with operational needs and governance standards.
• Develop and configure SharePoint solutions using supported development frameworks and tools (e.g., .NET, PowerShell).
• Create custom workflows, web parts, and extensions to enhance SharePoint functionality.
• Integrate SharePoint with external systems, data sources, and other enterprise systems and applications.
• Conduct unit, integration, and system testing to validate functionality, performance, and security.
• Troubleshoot, debug, and remediate defects identified during testing or production use.
• Provide technical support and issue resolution for deployed SharePoint solutions.
• Deliver ongoing maintenance, enhancements, and operational support for SharePoint environments.
• Monitor system performance and resolve application or configuration issues.
• Stay current with SharePoint, Microsoft 365, and related platform update, best practices, and security standards.
• Develop and maintain comprehensive technical documentation, including design artifacts, configuration guides, and operational procedures.