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此界面为简体中文。雇主发布的职位名称和描述保留原文,可能为英文。

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Data Scientist - Navy

Significance

远程工作

地点
Remote (United States)
薪资
USD 115000-125000 per annual
工作安排
Full Time
发布日期
2026年10月15日

申请前,请在雇主网站确认职位仍在招聘,并检查完整要求和条件。

职位描述

此界面为简体中文。雇主发布的职位名称和描述保留原文,可能为英文。

At Significance, we believe the best results come from investing in great people. As a woman-owned consulting firm supporting federal civilian and Department of Defense customers, we bring together talented professionals who are passionate about solving complex challenges and making a meaningful impact. We're proud of the culture we've built - one rooted in trust, collaboration, respect, and genuine relationships. Our people are empowered to share ideas, grow their careers, and deliver exceptional results while supporting missions that matter. It's a culture we're proud of, and one that has earned us recognition as a Washington Business Journal Best Place to Work for seven consecutive years. Significance, Inc. is seeking a Data Scientist to join our team supporting the U.S. Navy. This is a remote position requiring an active Secret clearance. Join a collaborative team dedicated to supporting the Navy’s mission. The Data Scientist will support enterprise-level data management and analytical functions, with a strong focus on database development, data modeling, data governance, and structured data workflows. This position requires the ability to build and maintain robust data systems, ensure data integrity, and develop analytical models that support organizational decision-making. The role is suited for a mid‑senior level professional experienced in designing and implementing scalable data solutions. Duties and Responsibilities: Develop, maintain, and optimize databases and structured data systems to support enterprise information needs. Create and manage data models, schemas, dictionaries, and standards to ensure consistency across systems. Conduct data quality checks, validation routines, and governance processes to ensure accuracy and compliance. Design and implement processes for data ingestion, transformation, and lifecycle management. Perform advanced analytical modeling, including scenario analysis, forecasting, and risk assessment. Develop tools, scripts, and automated workflows to streamline data processing and improve system performance. Collaborate with cross‑functional teams to understand data requirements and translate them into technical solutions. Evaluate data-related capabilities, recommend improvements, and support integration activities across technical environments. Provide subject matter expertise on enterprise data management best practices and emerging technologies. Required Skills: Strong proficiency in database architecture, SQL, and structured data environments. Experience developing and maintaining large‑scale data models and metadata frameworks. Expertise in data governance, data quality assurance, and standardized data practices. Proficiency in Python or R for data engineering, analytics, and scientific computing. Experience with ETL pipelines, data validation tools, and automated data workflows. Ability to analyze complex datasets and develop analytical models to support organizational strategy. Excellent communication skills, with the ability to convey technical concepts to non‑technical stakeholders. Desired Skills: Four years of experience in Navy data systems. Background in infrastructure, engineering, or large enterprise operational environments. Familiarity with data standardization initiatives and enterprise data architectures. Knowledge of cloud-based data platforms, distributed data systems, or API-driven architectures. Experience mentoring junior data staff or contributing to enterprise data strategy. Experience in Navy Systems such as eProjects, ieFACMAN, iNFADS,etc. At Significance, your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a comprehensive and generous benefits package. We are an E-Verify Employer Originally posted on Himalayas

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为什么有些职位使用英文?

职位名称和描述由招聘企业撰写。为避免改变招聘要求或工作条件,我们保留原文。操作界面和本指南使用简体中文。如果中文搜索没有结果,可以尝试使用职位发布语言中的名称或技能,例如“software engineer”。搜索词不会自动翻译,界面语言也不代表企业要求的申请语言。

远程职位是否允许从任何国家工作?

不一定。企业可能对居住国家、工作许可或工作时段有要求。请查看原始招聘页面中的具体条件。如果未说明,应先向企业确认,再判断能否从你所在的地区工作。“远程”标签本身并不代表没有地点限制。

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申请按钮会打开外部网站。请按照企业或招聘服务的说明,在该网站完成并确认提交。在 ResumizeAI 中准备简历并不等于已经申请职位。如果链接只打开企业网站,请先找到对应职位,再继续申请流程。

如何针对职位调整简历和求职信?

将招聘要求与能够解释清楚的项目、任务和成果联系起来。突出相关经历,不要添加未经实际掌握的技能或虚构成绩。在求职信中用具体例子说明申请动机,并遵守企业要求的语言和文件格式。提交前检查两份文件,确保内容准确、联系方式正确、链接可用。