数据科学家
Data Scientist
数据科学家
我们正在OUSD(P&R)预算办公室寻找一位经验丰富的数据科学家。该办公室负责管理支持招募、薪酬、培训和照顾国防部（DoW）人员的项目的预算和财务责任，可靠的数据是领导层展示每一分钱去向的方式。在此职位中，您将设计、构建和维护可扩展的数据管道和分析工作流，将复杂的DoW数据集转化为可靠、可操作的见解。您将使用Databricks、Python、Spark、SQL和分布式计算工具来自动化数据摄入、确保数据质量、验证完整性，并在任务系统之间集成结构化和半结构化数据。与跨职能团队合作，您将把需求转化为受控的数据产品，排查ETL问题，提高处理效率，并交付仪表板、模型和决策支持工具，以加强对账、报告和企业分析。这是一份全职、完全远程的工作机会。我们可以提供具有竞争力的薪资和全面的福利包。
职责
· 设计、构建和维护支持DoW任务数据的可扩展端到端数据管道和分析工作流
- 使用Databricks、Python、Spark、SQL和分布式计算工具开发ETL和数据转换流程
- 在多个源系统中自动化数据摄入、转换、对账和下游交付
- 实现数据质量控制、验证框架、模式强制、异常检测和完整性检查
- 集成结构化和半结构化数据集，应用业务规则以确保准确、受控的数据产品
- 排查ETL问题和管道故障，识别根本原因并实施有效的修复措施
- 与跨职能团队和任务利益相关者合作，将需求转化为可扩展的分析解决方案
- 提高企业分析工作流中的数据处理效率和可靠性
- 开发仪表板、模型和决策支持工具，以支持对账、报告和关键任务分析
所需资格
· 3至10年作为数据分析师或数据科学家的相关工作经验
- 精通Databricks、Python、Spark、SQL和分布式计算工具用于ETL和数据转换
查看英文原文
Data Scientist
We need an experienced Data Scientist at the Office of the Under Secretary of Defense for Personnel and Readiness (OUSD(P&R)) Comptroller. This office manages the budget and financial accountability behind the programs that recruit, pay, train, and care for the people of the Department of War (DoW), and reliable data is how leadership demonstrates where every dollar goes. In this role, you will design, build, and maintain scalable data pipelines and analytical workflows that transform complex DoW datasets into reliable, actionable insights. You will use Databricks, Python, Spark, SQL, and distributed-compute tools to automate ingestion, enforce data quality, validate integrity, and integrate structured and semi-structured data across mission systems. Working with cross-functional teams, you will translate requirements into governed data products, troubleshoot ETL issues, improve processing efficiency, and deliver dashboards, models, and decision-support artifacts that strengthen reconciliation, reporting, and enterprise analytics. This is a full-time, fully remote opportunity. We can offer a competitive salary and a comprehensive benefits package.
RESPONSIBILITIES
· Design, build, and maintain scalable end-to-end data pipelines and analytical workflows supporting DoW mission data
- Develop ETL and data-transformation processes using Databricks, Python, Spark, SQL, and distributed-compute tools
- Automate data ingestion, transformation, reconciliation, and downstream delivery across multiple source systems
- Implement data-quality controls, validation frameworks, schema enforcement, anomaly detection, and integrity checks
- Integrate structured and semi-structured datasets while applying business rules to ensure accurate, governed data products
- Troubleshoot ETL issues and pipeline failures, identify root causes, and implement effective remediations
- Collaborate with cross-functional teams and mission stakeholders to translate requirements into scalable analytical solutions
- Improve data-processing efficiency and reliability across enterprise analytics workflows
- Develop dashboards, models, and decision-support artifacts that support reconciliation, reporting, and mission-critical analysis
REQUIRED QUALIFICATIONS
· Three (3) to ten (10) years of directly related experience as a Data Analyst or Data Scientist
- Hands-on expertise with Databricks, Python, Spark, SQL, and distributed-compute tools for ETL and data transformation
- Demonstrated ability to build, maintain, and optimize end-to-end data pipelines with strong data-quality controls
- Experience implementing validation frameworks, schema enforcement, anomaly detection, and other data-quality techniques
- Experience integrating structured and semi-structured datasets from multiple systems and applying business rules for governed downstream delivery
- Ability to automate ingestion, transformation, and reconciliation workflows using Python scripts, SQL logic, and Databricks orchestration
- Strong analytical and troubleshooting skills, including the ability to diagnose pipeline failures and propose remediations
PREFERRED QUALIFICATIONS
· Experience working with DoW datasets, financial data structures, and audit-support environments
- Familiarity with Delta Lake, Unity Catalog, Auto Loader, Streaming, or similar enterprise data-governance and cataloging tools
- Proficiency building dashboards or analytical data products using Qlik, Tableau, or similar visualization platforms
- Experience developing data-quality monitoring systems, hash-based integrity checks, or automated validation logic aligned to compliance requirements
- Background in cloud data environments such as AWS S3, distributed storage, or external tables
EDUCATION· B.A./B.S. or M.A./M.S. in a relevant field
LOCATION· Remote - Full telework
CLEARANCE
· Active Secret security clearance
- U.S. citizenship is required
CLIENT· Office of the Under Secretary of Defense for Personnel and Readiness (OUSD(P&R)) Comptroller - Booz Allen Hamilton subcontract
WORK HOURS· Full-time position
EMPLOYMENT CLASSIFICATION· Employment Classification Eligibility - W2
COMPENSATION
· Salary range: $140,000 - $155,000
- Benefits: Benefits package includes options for health, dental, and vision insurance coverage; 401k contribution options
West 4th Strategy is an Equal Opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, gender, sexual orientation, ancestry, national origin, age, marital status, mental disability, physical disability, medical condition, pregnancy, political affiliation, military or veteran status, or any other basis prohibited by federal or state law.
Originally posted on Himalayas