Data Science Intern: ML, NLP & Visualization

Westat, Inc.; Bethesda (MD); On-site; USD 29,000 - 40,000; Part time

Job summary

Westat is seeking a Data Science Intern to join our Statistics and Data Science Center in Bethesda, MD. The role requires 20 hours per week, with on-site work two days per week, and involves programming in R, Python, and SQL to apply ML and NLP methods to structured and unstructured data.

You will develop data visualizations using open-source libraries and tools like Tableau/PowerBI, while documenting code with Git and following best practices.

Qualifications

• Must be enrolled in a master’s degree program in math, statistics, data science or related field.
• Experience working on data science related projects.
• Proficiency in R, Python and SQL.
• Demonstrated experience applying machine learning and NLP methods.
• Developed, queried, and managed large data files in databases.
• Experience using Git as version control.

Responsibilities

• Develop and test R and Python to collect, process, link, and analyze data in various formats.
• Develop SQL code to query, process, and manage large data files in databases.
• Apply supervised and unsupervised machine learning frameworks to data collected from a variety of sources.
• Use natural language processing methods and large language models to clean, parse, link, summarize and analyze large and unstructured data.
• Develop data visualizations using open-source libraries in R and Python and proprietary software such as Tableau and PowerBI.
• Develop and maintain code documentation using Git, implement coding standards, and apply best practices.
• Present to internal and external clients.

Skills

R

Python

SQL

Machine learning

Natural language processing

Git

Education

Master's degree

Tools

Git

Job description

Westat is seeking a Data Science Intern to join our Statistics and Data Science Center in Bethesda, MD. The role requires 20 hours per week, with on-site work two days per week, and involves programming in R, Python, and SQL to apply ML and NLP methods to structured and unstructured data.

You will develop data visualizations using open-source libraries and tools like Tableau/PowerBI, while documenting code with Git and following best practices.