Data Scientist (Vantage) - Clearance Required

• Data Engineering Extract, transform, and load data using big data platforms like Palantir Foundry , loading data into data visualizations , transforming data using python and low code data pipeline building tools.

• Workflow Development

Build low-code no-code applications that allow

end users to see real-time readiness dashboards.

• Data Integration

Automate

and clean the ingestion of data from legacy systems so it's useful for decision-making.

• Predictive Analytics

Create models to forecast equipment failures, personnel shortages, or budget overruns.

• PI Planning H elp with feature writing, task decomposition, acceptance criteria , user stories, and processes for extracting dependencies from descriptive models.

• Ad-Hoc Reporting

Quickly answer critical information requirements

by pulling data across different domains ability to gather customer requirements and deliver a comprehensive statistical analysis to answer their questions.

General Responsibilities:

• Support project management over data activities to ensure timely delivery in a reactive and agile environment.

• Engage technical and functional program SMEs, and key data stakeholders to understand business processes, analytical requirements, key data elements, data protection guidelines, etc.

• Define and develop techniques to integrate, consolidate , and structure data for analytical use

• Create data pipelines in python going from raw data to data products needed for visualization or other analytics products.

• Understand and analyze complex and organization-specific datasets.

• Transform data and analysis into informative visualizations and interactive dashboards using open-source and commercially available visualization and dashboard tools.

• Propose alternative designs and processes to manage various types of data using both standard and custom tables and fields.

• Provide recommendations for improvements in data strategies to include changes to governance, stewardship, integration, and standardization.

• Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline required

• Active DoD Secret clearance required . Must have at a minimum, an Interim Secret Clearance., with Python, and strong experience with PySpark or similar big data libraries.

• Knowledge of Army Vantage and data environment standardization.

• Experience working with data analysis tools including object-oriented programming (Python, Java SQL TypeScript computational analysis tools (R, MATLAB), and associated data science libraries (scikit-learn).

• Experience developing and implementing statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics as well as to develop statistical tests to make data-driven recommendations and decisions

• Experience creating meaningful data visualizations and interactive dashboards using platforms such as Tableau, Qlik, Power BI, RShiny plotly , or d3.js to communicate findings and relate them back to how insights create business impact

• Experience with data modeling, building "objects" (e.g., "Soldier," "Tank," "Unit") and defining how they relate to one another in the Foundry environment.

• Strong background in DevOps and Software Engineering, including GitLab CI/CD, Infrastructure as Code and implementing Quality Assurance practices like Test-Driven Development (TDD) and unit testing ( Pytest

• Proven ability to design and scale Medallion Lakehouse Architectures, implement Data Mesh concepts, and utilize Dimensional Modeling (Star Schemas) on cloud platforms like Databricks or DoD Advana

• Innovative problem solving and root cause identification skills.

• Superior communication skills, both oral and written.

• Able to work effectively at all levels of an organization.

• Must be a team player and able to work with and through others.

• Ability to influence and align others and move toward a common vision or goal.

• Federal government agency experience required

Desired:

• Master's degree (preferred) in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline
• Experience with authoritative data sources, including IPPS-A / MILPDS, GCSS-Army, GFEBS, DTMS / MEDPROS.
• Experience with Army Vantage
• Experience with efforts focused on understand ing interdependencies of programs within an organization

Travel: Minimal, less than 10%

Location: Hybrid; at least 3 days on client site in Crystal City VA or Aberdeen MD, Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.