Leidos

Data Scientist Intern

Leidos

internship

Posted on:

Location Type: Remote

Location: Remote • Virginia • 🇺🇸 United States

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Salary

💰 $46,800 - $84,600 per year

Job Level

Entry Level

Tech Stack

NumpyPandasPythonScikit-Learn

About the role

  • Design build, train, and evaluate machine learning models across various domains
  • Conduct original research and develop innovative solutions in areas such as Predictive Analytics, Explainable AI, and statistical modeling
  • Collaborate with AI/ML researchers and engineers using Agile methodologies
  • Analyze complex datasets to identify trends and inform decision-making processes
  • Communicate findings, insights, and methodologies to both technical and non-technical stakeholders
  • Contribute to the development of tools and technologies for deployment in real-world environments
  • Implement appropriate modeling and data science strategies required to address customer needs

Requirements

  • Must be enrolled in degree program and actively seeking B.S. degree in Computer Science, Data Science or related field
  • Strong Python programming fundamentals
  • Experience with AI/ML tools, such as common Python packages (e.g., scikit-learn, NumPy, Pandas) and Jupyter notebooks
  • Knowledge of machine learning algorithms, statistical modeling, and data analysis techniques
  • Familiarity with research methodologies and practices, including experimental design and hypothesis testing
  • Self-starter with high intellectual curiosity
  • Strong communication skills, with the ability to explain complex technical concepts to a non-technical audience
  • US Citizenship required
Benefits
  • competitive compensation
  • Health and Wellness programs
  • Income Protection
  • Paid Leave
  • Retirement

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learningpredictive analyticsexplainable AIstatistical modelingdata analysisPythonmachine learning algorithmsexperimental designhypothesis testingdata science strategies
Soft skills
communication skillsintellectual curiositycollaborationself-starterability to explain technical concepts
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