LMI

About the Company

LMI is a new breed of digital solutions provider, disrupting the traditional govcon model with commercial-grade technology that is ready day-one. Driven by mission impact and backed by hard-earned customer trust, we help federal agencies move faster and smarter—delivering where it matters most. Experience and innovation fuel the what; expertise and precision drive the how. Our commitment to our customers means staying ahead of the curve—and their mission needs. Leveraging cutting-edge platforms, mission-ready AI, and iterative collaboration, we deliver real results and meaningful transformation for the U.S. government. The outcome: agencies that are more agile, more responsive, and always ready for what’s next.

Listed Jobs

Company Name

LMI

Job Title

Data Science Intern (USPS) - Summer 2026

Job Description

Job Title: Data Science Intern (USPS) – Summer 2026 Role Summary: Data science and AI/ML intern supporting advanced analytics projects for a government client (USPS). Works on research, modeling, and development of AI-driven solutions, collaborating cross‑functionally in a full‑time onsite environment. Expectations: Deliver actionable insights and prototype-level AI/ML solutions within a 10–12 week summer internship. Must complete coursework and meet eligibility for U.S. security clearance, starting end of May 2026. Key Responsibilities: - Conduct data analysis and build predictive models using Python, SQL, and machine learning libraries (TensorFlow, Scikit‑learn, PyTorch). - Design and implement AI/ML algorithms to address real‑world problems for the USPS. - Develop software components leveraging cloud platforms (AWS, Azure). - Create data visualizations and dashboards (Tableau, Power BI, Matplotlib) to communicate findings. - Collaborate with cross‑functional teams to integrate solutions into existing systems. - Participate in R&D on emerging AI and data science methodologies. Required Skills: - Proficient in Python and SQL; experience with machine learning frameworks (TensorFlow, Scikit‑learn, PyTorch). - Familiarity with software development practices, cloud computing (AWS, Azure), and algorithms. - Strong analytical and problem‑solving abilities with complex datasets. - Ability to translate technical results into clear visualizations and written reports. - Excellent communication and teamwork skills. - Experience with data visualization tools (Tableau, Power BI, Matplotlib) preferred. - Knowledge of Microsoft Excel, Access, VBA, and Java desirable. Required Education & Certifications: - Current enrollment in a Bachelor’s or Master’s program in Computer Science, Data Science, Engineering, Mathematics, or related field. - Eligible for U.S. security clearance (U.S. citizenship required). - Availability for full‑time work 10–12 weeks during summer 2026, starting at the end of May.

Washington, United states

Hybrid

Fresher

07-01-2026

Company Name

LMI

Job Title

ServiceNow Developer

Job Description

**Job Title** ServiceNow Developer **Role Summary** Design, develop, configure, and support ServiceNow applications for federal government clients, covering core modules (GRC, ITSM, ITOM, HR, CSM, SPM/APM, PPM, EAM) and custom solutions. Lead skillful code development, workflow automation, UI customization, and integration using REST/SOAP within an Agile DevSecOps environment. **Expactations** - Deliver secure, high‑quality ServiceNow implementations that meet federal compliance standards. - Participate actively in sprint planning, stand‑ups, and retrospectives. - Keep abreast of ServiceNow releases, recommend platform enhancements, and ensure performance optimization. - Maintain and troubleshoot integrations with external systems. - Pass a USPS background check; occasional CONUS travel permissible. **Key Responsibilities** - Configure and customize core ServiceNow modules (GRC, ITSM, ITOM, HR, CSM, SPM/APM, PPM, EAM). - Design, code, and deploy custom applications, UI policies, business rules, client scripts, and Glide scripting. - Build and manage workflows with Flow Designer, Workflow Editor, and Business Rules. - Perform unit testing, support user acceptance testing, and ensure code quality. - Create technical documentation: design docs, architecture diagrams, user guides. - Provide ongoing support, resolve issues, apply upgrades, and monitor system performance. - Lead Agile ceremonies: sprint planning, daily stand‑ups, retrospectives. - Integrate ServiceNow with enterprise systems using REST, SOAP, pre‑built spokes. - Enforce security policies and best practices throughout development and data handling. **Required Skills** - 5+ years of experience delivering ServiceNow solutions in a development, implementation, and deployment capacity. - Proficiency with ServiceNow platform capabilities, Business Rules, and scripting. - Strong understanding of Agile DevSecOps methodologies. - Experience with integration technologies (REST, SOAP). - Ability to translate business requirements into technical solutions. - Excellent troubleshooting, documentation, and communication skills. **Required Education & Certifications** - Undergraduate degree in engineering, finance, economics, operations research, mathematics, or a related discipline. - ServiceNow Certified System Administrator. - ITIL certification (desired). - Willingness to obtain and maintain a USPS background check; travel within CONUS possible.

United states

Remote

28-01-2026

Company Name

LMI

Job Title

Senior Acquisition Systems/Project Engineer

Job Description

Job title: Senior Acquisition Systems/Project Engineer Role Summary: Provide end‑to‑end systems engineering and project management for federal border protection technology programs, guiding initiatives through acquisition, deployment, operation and sustainment while ensuring compliance with DHS/CBP acquisition and systems engineering frameworks. Expectations: Deliver rigorous lifecycle support, craft acquisition documentation, evaluate contractor deliverables, conduct technical and market analyses, present findings, and maintain program schedules and status reports. Must be self‑motivated, independent, with strong communication and leadership skills; U.S. citizenship required for CBP background investigation. Key Responsibilities: - Lead or support development of SELC tailoring plans, SEPs, IMS, TEMP, and IPT charters. - Draft RFP components (SOO, PWS, CDRLs, DIDs, ICDs, CONOPS, FRDs). - Evaluate RFIs, proposals, white papers, tech demonstrations and contract deliverables. - Plan, execute, and assess system acceptance tests, technical demonstrations, and technology evaluations. - Conduct trade studies, market research, requirements analysis and produce decision papers or white papers. - Track project activities, compile status reports, and provide recommendations to the PMO. Required Skills: - Full lifecycle systems engineering experience on large, complex programs. - Proficiency with DHS/DoD Acquisition Lifecycle Framework and DHS SELC framework. - Strong requirements analysis, trade‑study, and decision‑paper development capabilities. - Knowledge across multiple engineering disciplines. - Excellent problem‑solving, organizational, communication and leadership skills. - Ability to travel out‑of‑state monthly. Required Education & Certifications: - STEM BS with 10+ years of experience OR STEM MS with 7+ years of experience; or 3–10 years with STEM BS for mid‑level roles. - Eligibility for CBP BI; active CBP BI a plus.

Washington dc, United states

On site

Senior

30-01-2026

Company Name

LMI

Job Title

Senior Data Modeling & Lead Data Scientist - Clearance Required

Job Description

Job Title: Senior Data Modeling & Lead Data Scientist - Clearance Required Role Summary: Lead data science team in developing, testing, and deploying machine learning (ML) meta‑models for discrete event simulation data used in a Department of Defense supply chain risk program. Oversee end‑to‑end model lifecycle, integrate solutions into a Databricks environment, and collaborate with engineering, UI, and domain experts to deliver optimization and analytics capabilities. Expectations: - Direct a high‑performing data science team and manage multiple concurrent projects. - Maintain rigorous agile development practices and ensure timely delivery of production‑grade ML models. - Uphold security and compliance standards required for DoD projects, maintaining an active Secret clearance (Top Secret preferred). Key Responsibilities: 1. Lead development of ML meta‑models representing large‑scale simulation scenarios. 2. Apply Design of Experiments (DOE) and advanced meta‑modeling techniques to simulate weapon system component inventories. 3. Adapt and refine supervised ML models using Python, PySpark, and MLflow within Databricks notebooks. 4. Employ meta‑models for optimization (linear programming, heuristic methods) to support decision‑making. 5. Mentor and coach team members to improve automation, accuracy, and efficiency of modeling workflows. 6. Collaborate with data engineers, UI developers, and domain experts to integrate data science outputs into adaptive software ecosystems. 7. Coordinate with peer technical leads to prioritize initiatives, assess risks, and devise solutions. 8. Manage code development, testing, and deployment pipelines across multiple engagements. 9. Stay current on emerging data science techniques to tackle complex, large‑scale data challenges. Required Skills: - Expert Python and Spark programming; proficiency with Databricks, MLflow, and cloud-based data platforms. - Advanced knowledge of DOE, meta‑modeling, and optimization techniques (linear programming, heuristics). - Experience with agile project management and cross‑functional collaboration. - Familiarity with data visualization tools (e.g., Qlik, React). - Strong analytical, conceptual, and problem‑solving abilities. Required Education & Certifications: - Master’s degree in Data Science, Operations Research, or related field. - Minimum 10 years’ data science experience, including senior or lead roles. - Active DoD Secret clearance required; Top Secret clearance preferred.

Mc lean, United states

On site

Senior

30-01-2026