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RemoteListed Jun 8, 2026

Data Scientist

Elder Research

  • AI-Data-Scientist
  • Data Science
  • Data-Science-and-Analytics-Jobs
  • Data-Scientist
  • Data-Scientist-I

Assessed from original listing evidence

The role

Job description

Role Overview

Supports U.S. Customs and Border Protection in the Washington DC area. As a Data Scientist, with little or no supervision, apply expert knowledge in statistical analysis, complex data mining, and artificial intelligence to make value out of data. Provide consulting relating to the data mining and analysis of data from a range of sources to transform raw data into concise and actionable insights. Design and implement data-driven solutions, with specific focus on advanced analytical methods, data models, and visualizations.

What You Will Do

Develop quantitative simulations and models to provide descriptive and predictive analytics solution recommendations. Identify trends and problems through complex big data analysis. Maintain current in emerging tools and techniques in machine learning, statistical modeling, and analytics.

Why It Might Be a Fit

Must have a Advanced Degree (Masters or PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related other quantitative or mathematical discipline. A PhD degree may be substituted for up to three (3) years of relevant experience. Demonstrates knowledge of data mining methods, databases, data visualization and machine learning. Ability to communicate analysis techniques, concepts and products. Ability to develop data-driven solutions, data models, and visualizations.

Requirements

  • Six (6) years of relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related other quantitative or mathematical discipline.
  • At least three (3) years of direct experience in machine learning.
  • Must have a Advanced Degree (Masters or PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related other quantitative or mathematical discipline.
  • Demonstrates knowledge of data mining methods, databases, data visualization and machine learning.
  • Ability to communicate analysis techniques, concepts and products.
  • Ability to develop data-driven solutions, data models, and visualizations

Benefits

  • PTO policies
  • Parental leave
  • Bereavement leave
  • Flexible time off
  • Reasonable hours
  • Solid pay
  • Low travel

Originally posted on Himalayas

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