Data Scientist, Mid
About The Position
The Data Scientist will support an intelligence community agency’s collection and analysis operations. Working closely with the customer, the role involves understanding questions and needs, exploring data-rich environments, and identifying useful information to support mission partners’ decisions. The work includes writing scripts to integrate data, performing exploratory data analysis to discover patterns, applying machine learning to train predictive models, and selecting tools to turn disparate data into objective answers. The position also helps customers understand their data and how to use it in support of the intelligence community’s global mission.
Requirements
- At least 2 years of experience in data science or engineering, including quantitative analysis, developing visualizations, and processing complex data to create data-driven insights.
- Experience using Python to manipulate and analyze data.
- Experience using SQL to conduct complex database queries.
- Experience communicating information verbally or in writing to audiences with varying levels of technical knowledge.
- Top Secret clearance.
- Bachelor's degree.
Nice To Haves
- Experience using Apache Spark to aggregate and analyze large data sets from various sources.
- Experience using the Joint Enterprise Modeling and Analytics (JEMA) framework to develop data processing workflows.
- Experience developing Web services or Web applications using Python and Flask or JavaScript.
- Experience working with AI and ML technologies and data systems.
- Experience using data manipulation and extract, transform, and load (ETL) procedures.
- Experience working with multiple file types, including geospatial file formats, JSON, and XML.
- Experience developing data visualizations, dashboards, or lightweight Web applications to communicate key insights.
- Knowledge of commercial Cloud services used by the intelligence community.
- TS/SCI clearance.
- Master's degree in Mathematics, Statistics, Computer Science, Data Analytics, or a related technical field.
Responsibilities
- Work with the customer to understand their questions and needs.
- Integrate data by writing scripts.
- Conduct exploratory data analysis to discover patterns in data.
- Apply machine learning to train predictive models.
- Use appropriate tools to turn disparate data into objective answers that support informed decisions.
- Explain data and its implications to customers and mission partners.
Benefits
- Health, life, and disability benefits.
- Financial and retirement benefits.
- Paid leave.
- Professional development.
- Tuition assistance.
- Work-life programs.
- Dependent care.
- Recognition awards for exceptional performance and demonstration of company values.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
