数据科学家 - 需要安全许可
Data Scientist - Clearance Required
Overview
数据科学家 - 中级将通过开发、维护和优化数据驱动的分析和机器学习模型，支持陆军的弹药规划和补给任务。该职位将与团队合作，维护和改进基于机器学习的需求预测，支持Army Vantage中的仪表板指标，并为提高弹药分发效率和单位准备度的工作流程自动化做出贡献。
LMI 是一家新型的数字解决方案提供商，致力于通过创新和速度加速政府影响。LMI 在需求之前投资技术和原型，以商业速度为联邦机构带来商用级平台和就绪的AI。
利用我们已准备就绪的技术和解决方案、在联邦部署方面的丰富经验以及战略关系，我们高效且有效地提升政府成果。LMI专注于敏捷性和协作，服务于国防、太空、医疗保健和能源领域，帮助机构应对复杂性并超越变化。LMI 总部位于弗吉尼亚州泰森斯，致力于提供能够加强任务并推动持久价值的影响结果。
Responsibilities
· 支持弹药消耗和补给的预测和分析模型的开发、测试和优化。
· 维护和改进基于Vantage的分析、仪表板和数据产品，包括整合新的数据源。
· 协助将数据集成和验证到Vantage管道中，以集中弹药数据。
· 对历史弹药消耗和单位预测数据进行描述性、诊断性和预测性分析，以识别趋势、异常和改进机会。
· 与后勤人员、弹药专家和政府利益相关者一起参与需求收集会议，定义分析用例、数据需求和模型改进。
· 使用Python、SQL和相关工具开发和维护可重复的分析工作流；记录模型逻辑、假设和限制。
· 协助监控模型性能和关键指标。
· 准备清晰的可视化和总结分析，以支持领导决策，包括月度状态报告和简报。
· 通过创建和更新与数据科学工作相关的用户故事和技术任务来支持项目待办事项管理。
Qualifications
Required Qualifications
· 数据科学、统计学、运筹学、计算机科学或相关领域的学士学位
查看英文原文
Overview
The Data Scientist – Journeyman will support the Army's ammunition planning and resupply mission through the development, sustainment, and refinement of data-driven analytics and machine learning models. This role will work within a team to maintain and enhance ML-driven demand forecasts, support dashboard metrics in Army Vantage, and contribute to workflow automation that improves ammunition distribution efficiency and unit readiness.
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
Responsibilities
- Support development, testing, and refinement of forecasting and analytics models for ammunition consumption and resupply.
- Maintain and enhance existing 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 to identify trends, anomalies, and opportunities for improvement.
- Support requirement-gathering sessions with logisticians, ammunition SMEs, and Government stakeholders to 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 clear visualizations and summary analyses to support 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.
Qualifications
Required Qualifications
- 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.
- Building and validating regression, time series, or classification models.
- 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; please note, only US Citizens can obtain a clearance.
Desired Qualifications
- Experience supporting an enterprise data analytics platform (e.g., Army Vantage, Army Data Platform, or similar).
- Familiarity with Army logistics processes, ammunition management, or supply chain analytics.
- Experience with dashboarding/BI tools (e.g., Power BI, Tableau, or Vantage-native visualization tools).
- Experience with version control (e.g., Git) and Agile/Scrum practices (e.g., JIRA, Confluence).
- Exposure to ML model monitoring and MLOps concepts.
Target salary range: $120,000-$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.
Job Locations
US-RemoteOriginally posted on Himalayas