LMI is seeking a Data Scientist toassistwith Army data model, pipeline, and visualizationdevelopment.ThisData Scientist will createdata modelsworking from mock visualizations and raw data inputs; leverage python,PySpark, Foundry, and code repositories to develop an architecture plan;extract, transform, and load data into Vantage; anduseVantageworkshopsto develop visualizations. Active Secret clearance required.

Location: Open to Remote. Local preferred at client site in Crystal City VA or Aberdeen MD.

CoreResponsibilities:

• DataEngineering:Extract, transform, and load datausing bigdataplatforms likePalantirFoundry, loadingdata intodatavisualizations, transformingdatausingpythonandlow codedatapipelinebuildingtools.

• WorkflowDevelopment: Build low-code no-code applications that allowend usersto see real-time readiness dashboards.

• Data Integration: Automateand cleanthe ingestion of data from legacy systems soitsuseful for decision-making.

• Predictive Analytics: Create models to forecast equipment failures, personnel shortages, or budget overruns.

• PI Planning:Help with feature writing, task decomposition, acceptance criteria, user stories, and processes forextracting dependencies from descriptive models.

• Ad-Hoc Reporting: Quickly answer critical information requirementsby pulling data across different domains,ability to gathercustomerrequirements anddeliver acomprehensivestatisticalanalysis toanswertheirquestions.

General Responsibilities:

• Support project management over data activities to ensuretimelydelivery 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 foranalytical use.

• Createdatapipelines inpython,going from raw datatodataproducts needed forvisualization or otheranalyticsproducts.

• 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 managevarious typesof 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.

Qualifications:

• Bachelors degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative disciplinepreferred. Relevant experience considered in lieu of a degree.

• Active DoD Secret clearancerequired. Must have at a minimum, an Interim Secret Clearance.

• 10yearsofexperiencewith Python, and strong experience withPySparkor similar big data libraries.

• Knowledge of Army Vantageanddata environment standardization.

• Experience working with data analysis tools including object-oriented programming (Python,Java,SQL,TypeScript),computationalanalysis 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 analyticsas 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

• Experiencewith datamodeling,building"objects" (e.g., "Soldier," "Tank," "Unit") and defining how they relate to one another in theFoundryenvironment.

• 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, andutilizeDimensional Modeling (Star Schemas) on cloud platforms like Databricks or DoDAdvana.

• 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 experiencerequired

Desired:

• Masters 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

• Experiencewitheffortsfocused onunderstandinginterdependencies ofprogramswithin anorganization.

Travel: Minimal, less than 10%

Location: Open to Remote. Local preferred at client site in Crystal City VA or Aberdeen MD.

Target salary range: $111,426 - $150,000

Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.

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