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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

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