Data Scientist – Clearance Required

🔥 0 minutes ago

🦀 Maryland, Virginia – Remote

🦀 Maryland – Remote ⚔️ Virginia – Remote

💵 $111.4k - $150k / year

⏰ Full Time

🟠 Senior

🔴 Lead

📊 Data Scientist

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LMI

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1961

🤖 Artificial Intelligence

⚕️ Healthcare Insurance

🏛️ Government

Artificial Intelligence • Healthcare Insurance • Government

LMI is a forward-thinking company that focuses on reimagining the path from insight to outcome through innovative solutions in various sectors, including applied AI and digital health. They provide advanced analytics, engineering support, and performance optimization across defense, health, and civilian markets, with a strong commitment to enhancing mission effectiveness for government clients. With a focus on collaboration and research, LMI aims to drive positive change through its diverse capabilities and partnerships.

📋 Description

• 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: Help 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.

🎯 Requirements

• Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline preferred • Active DoD Secret clearance required • 10 years 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, 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 • 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)

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options