Job Description & How to Apply Below
Overview 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.
Location:
Hybrid; at least 3 days on client site in Crystal City VA or Aberdeen MD. Open to Remote 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. Responsibilities
Core Responsibilities:
* 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. Qualifications
Qualifications:
* 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.
* Active DoD Secret clearance required . Must have at a minimum, an Interim Secret Clearance.
* 10 y ears of experience 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 , Type Script ), 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 Dev Ops and Software Engineering, including Git Lab 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…
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