Intern - Data Science

Job Description

THE ROLE
We are seeking a Data Science Intern to join our Chicago-based team to support our analytics, machine learning, and AI initiatives. In this role, you will gain hands-on experience manipulating and analyzing concert and venue data, building machine learning models, and leveraging data intelligence platforms for streamlining workflows and automating processes.
WHAT THIS ROLE WILL DO
• Partner with Data Scientists to design, implement, and maintain retrieval-augmented generation (RAG) pipelines and AI applications powered by large language models (LLMs), including vector embedding store setup, prompt engineering, and integration with internal business systems.
• Conceptualize, build, and implement Machine Learning models within the Databricks platform.
• Build complex SQL queries to compile, manipulate, and aggregate data.
• Perform ad-hoc statistical/exploratory analysis including, but not limited to, regression, clustering, and optimization.
• Partner with engineering and IT teams to productionize models, debug/troubleshoot code, and integrate with other internal business systems.
WHAT THIS PERSON WILL BRING
• Currently pursuing a Master's degree in a relevant field, such as data science, computer science, statistics, or business analytics.
• Proficiency in Python.
• Proficiency in SQL.
• Experience working with LLMs, including prompt-engineering and RAG pipelines.
• Experience using statistical modeling and machine learning to solve business problems.
• Experience working with large and complex datasets.
• Thorough understanding of machine learning principles and experience using machine learning algorithms (e.g., gradient-boosted machines, neural networks).
• Strong communication skills and the ability to summarize complex analyses.
• Experience with MLOps and model deployment pipelines is a plus, but not required.

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The expected compensation for this position is:
$20.00 USD - $25.00 USD Hourly
** Pay is based on a number of factors including market location, qualifications, skills, and experience.

Jobcode: Reference SBJ-wpp41k-216-73-216-175-42 in your application.