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Closed on August 11, 2026.
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Job Description
This onsite Data Scientist role in Washington, DC offers a comprehensive benefits package and the opportunity to lead algorithm development and advise clients across sectors using data science, NLP, and ML.
Benefits
- Health benefits
- Life benefits
- Disability benefits
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
Location: Washington, DC onsite. Compensation: USD 99,000 - 225,000 per year. Education: Bachelor's degree.
Responsibilities
- Work closely with clients to understand their questions and needs, then explore data-rich environments to identify relevant information pieces
- Guide teammates and lead the development of algorithms and systems
- Use an appropriate mix of tools and frameworks to convert disparate data points into objective answers that inform client decisions
- Provide a deep understanding of the data, its meaning, and how it can be used
Requirements
- 5+ years of experience in data science or analytics
- 1+ years of experience with natural language processing or text mining
- Experience with Excel spreadsheets to include formulas and data structures for data analysis and reporting
- Experience in Python programming to support data extraction, data cleaning, data mining, data transformations, and data analysis
- Experience analyzing structured and unstructured data sources and with query languages like SQL variants to efficiently query and manage large datasets
- Experience with Document Store Databases such as Elasticsearch and ArangoDB and Graph Databases concepts of nodes and edges
- Experience with data visualization using Kibana, Tableau, or Power Bi to present data insights clearly through dashboards, charts, and graphs
- Experience in producing detailed written intelligence reports and assessments
- TS/SCI clearance
- Bachelor’s degree
Technologies
- Excel
- Python
- SQL
- Elasticsearch
- ArangoDB
- Kibana
- Tableau
- Power Bi
- R
- Docker
- Kubernetes