Impactful Data Science & Analytics Intern

Mitre Corporation

Fort Meade (MD)

On-site

USD 47,000 - 70,000

Full time

14 days+
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Job summary

MITRE is seeking a data science internship candidate to join a team of experts and gain hands-on experience in data analysis, analytics, and systems modeling. You will contribute to data-driven decision making and work on cutting-edge analytics projects in a collaborative environment.

As an intern, you must be a full-time student enrolled in an accredited degree program in data science, math, statistics, or operations research, and remain enrolled the following semester.

Qualifications

  • Must be a full-time student pursuing an accredited degree program in Data Science, Math, Statistics, Operations Research or related disciplines.
  • Must continue to be enrolled the semester following the internship.
  • Foundational knowledge of data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages.
  • Must have sustained excellence in academic performance.

Responsibilities

  • Data analysis and visualization
  • Augmented decision-making and trusted analytics
  • Applied mathematics, statistics, and optimization
  • Simulation and computational analytics
  • Systems modeling and analysis
  • Operational effectiveness and efficiency
  • Knowledge discovery
  • Next-generation data environments

Skills

Data Science
Mathematics
Statistics
Operations Research
Programming Languages

Education

Data Science
Mathematics
Statistics
Operations Research

Job description

MITRE is seeking a data science internship candidate to join a team of experts and gain hands-on experience in data analysis, analytics, and systems modeling. You will contribute to data-driven decision making and work on cutting-edge analytics projects in a collaborative environment.

As an intern, you must be a full-time student enrolled in an accredited degree program in data science, math, statistics, or operations research, and remain enrolled the following semester.

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