Data Science Intern: AI/NLP & Analytics (20h/wk, On-Site)

Westat; Bethesda (MD); On-site; USD 28,000 - 40,000; Full time

Job summary

Westat is seeking a Data Science Intern to join our Statistics and Data Science Center from hire through December 2026.

The position requires a commitment of 20 hours per week, on average, and involves programming in R, Python, and SQL; applying data science and artificial intelligence (AI) methods (e.g., natural language processing, machine learning, and large language models) to structured and unstructured data; data analytics and visualization.

Qualifications

• Enrollment in a master's degree program in math, statistics, data science or related field.
• Experience with data science related projects.
• Proficiency in R, Python, SQL.
• Demonstrated experience developing machine learning and natural language processing methods.
• Developed, queried, and managed large data files in databases.
• Proven experience using Git as version control system.

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

Education

Master's degree in math, statistics, data science or related field

Tools

Git

Job description

Westat is seeking a Data Science Intern to join our Statistics and Data Science Center from hire through December 2026.

The position requires a commitment of 20 hours per week, on average, and involves programming in R, Python, and SQL; applying data science and artificial intelligence (AI) methods (e.g., natural language processing, machine learning, and large language models) to structured and unstructured data; data analytics and visualization.