
1001 - 5000 employees
Founded 1961
📦 Logistics
🏥 Healthcare
🎖️ Defense
Logistics • Healthcare • Defense
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.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $120k - $150k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
📊 Data Scientist
🦅 H1B Visa Sponsor
👻 Ghost score 0%
Where this job comes from
Posted on LMI's careers page, not through a job board
First seen by Remote Rocketship 0 minutes ago
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1001 - 5000 employees
Founded 1961
📦 Logistics
🏥 Healthcare
🎖️ Defense
Logistics • Healthcare • Defense
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.
• Support development, testing, and refinement of forecasting and analytics models for ammunition consumption and resupply • Maintain and enhance Vantage-based analytics, dashboards, and data products, including incorporating new data sources • Assist in integrating and validating data into Vantage pipelines to centralize munitions data • Conduct descriptive, diagnostic, and predictive analytics on historical ammunition consumption and unit forecast data • Identify trends, anomalies, and opportunities for improvement • Support requirement-gathering sessions with logisticians, ammunition SMEs, and Government stakeholders • Define analytical use cases, data needs, and model enhancements • Develop and maintain reproducible analytical workflows using Python, SQL, and related tools • Document model logic, assumptions, and limitations • Assist in monitoring model performance and key metrics • Prepare visualizations and summary analyses for leadership decision-making, including monthly status reports and briefings • Support project backlog management by creating and updating user stories and technical tasks related to data science work
• Bachelor’s degree in data science, statistics, mathematics, computer science, engineering, business analytics, or related discipline • 2–5 years of experience in data science, analytics, or a closely related field • Demonstrated experience with Python (e.g., pandas, scikit-learn, numpy) and SQL for data preparation, analysis, and basic modeling • Experience building and validating regression, time series, or classification models • Experience working with large, structured datasets in relational databases or data warehouses • Strong quantitative and critical thinking skills; ability to translate ambiguous business questions into analytical problems and solutions • Ability to communicate analytical findings to non-technical stakeholders in clear, concise terms • Self-directed, detail-oriented, and comfortable working in an Agile environment with shifting priorities • Active SECRET clearance • Only US Citizens can obtain a clearance • Desired: experience supporting an enterprise data analytics platform such as Army Vantage or Army Data Platform • Desired: familiarity with Army logistics processes, ammunition management, or supply chain analytics • Desired: experience with dashboarding/BI tools such as Power BI, Tableau, or Vantage-native visualization tools • Desired: experience with version control such as Git and Agile/Scrum practices such as JIRA and Confluence • Desired: exposure to ML model monitoring and MLOps concepts
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