Leidos is looking for a Data Scientist Intern to contribute to Research and Development efforts in areas such as Natural Language Processing, Reinforcement Learning, AI Ethics, and Predictive Analytics, aiming to solve complex problems using AI and Machine Learning and build cutting-edge technology.
Requirements
- 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.
- Experience with generative AI, Large Language Models (LLMs), or transformer-based architectures.
- Familiarity with data visualization libraries such as Plotly, Streamlit, and matplotlib.
- Willing to learn new skills, tools, and frameworks as needed.
Responsibilities
- 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
Other
- Must be enrolled in degree program and actively seeking B.S. degree in Computer Science, Data Science or related field
- 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.
- Ability and willingness to obtain a Top Secret security clearance.
