Data Scientist (Vantage) - Clearance Required
Role details
Job location
Tech stack
Job description
LMI is seeking a Data Scientist to assist with Army data model , pipeline, and visualization development . Th is Data Scientist will create data model s working from mock visualizations and raw data inputs ; leverage python, PySpark , Foundry, and code repositories to develop an ar chitecture plan ; extract, transform, and load data into Vantage; and use Vantage workshops to develop visualizations. Active Secret clearance required., Core Responsibilities:
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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.
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Workflow Development : Build low-code no-code applications that allow end users to see real-time readiness dashboards.
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Data Integration : Automate and clean the ingestion of data from legacy systems so it's useful for decision-making.
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Predictive Analytics : Create models to forecast equipment failures, personnel shortages, or budget overruns.
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PI Planning : H elp with feature writing, task decomposition, acceptance criteria , user stories, and processes for extracting dependencies from descriptive models.
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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:
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Support project management over data activities to ensure timely delivery in a reactive and agile environment.
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Engage technical and functional program SMEs, and key data stakeholders to understand business processes, analytical requirements, key data elements, data protection guidelines, etc.
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Define and develop techniques to integrate, consolidate , and structure data for analytical use .
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Create data pipelines in python , going from raw data to data products needed for visualization or other analytics products.
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Understand and analyze complex and organization-specific datasets.
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Transform data and analysis into informative visualizations and interactive dashboards using open-source and commercially available visualization and dashboard tools.
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Propose alternative designs and processes to manage various types of data using both standard and custom tables and fields.
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Provide recommendations for improvements in data strategies to include changes to governance, stewardship, integration, and standardization.
Requirements
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Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline preferred . Relevant experience considered in lieu of a degree.
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Active DoD Secret clearance required . Must have at a minimum, an Interim Secret Clearance.
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10 y ears of experience with Python, and strong experience with PySpark or similar big data libraries.
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Knowledge of Army Vantage and data environment standardization.
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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).
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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
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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
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Experience with data modeling, building "objects" (e.g., "Soldier," "Tank," "Unit") and defining how they relate to one another in the Foundry environment.
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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 ).
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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 .
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Innovative problem solving and root cause identification skills.
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Superior communication skills, both oral and written.
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Able to work effectively at all levels of an organization.
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Must be a team player and able to work with and through others.
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Ability to influence and align others and move toward a common vision or goal.
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Federal government agency experience required
Desired:
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Master's degree (preferred) in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline .
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Experience with authoritative data sources, including IPPS-A / MILPDS, GCSS-Army, GFEBS, DTMS / MEDPROS.
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Experience with Army Vantage
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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. Open to Remote, 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.