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Data Science Graduate Intern, Theatrical Marketing - Summer 2024

ūüöÄ Summer Internship

Culver City

‚Ćõ Closed
Applications are closed

Summer Internship

Data‚ÄĘCulver City


  • This Summer Internship is from May/June through August 30th (start and end dates are flexible based on school schedules) and all candidates must be able to work 40 hours a week, Monday through Friday in the specified location. This position is ideal for a student enrolled in an accredited college or university. A hybrid work structure may or may not be available. 
  • DEPARTMENT DESCRIPTION:  The Marketing Analytics & Insights team is at the fast-moving intersection of film marketing strategy, shifting consumer behaviors, and big data / predictive modeling. The team supplies tools, data and insights that fuel data-informed decision-making around audience & creative marketing strategies in support of theatrical films. Team goals include adapting predictive models for the quickly changing marketplace, enhancing film recommender engines, and identifying new ways of guiding film greenlighting and early decision-making. The ideal candidate joins a growing team of Data Scientists that collaborates with Analytics, Research, and Marketing colleagues to support tools, predictive models and technology that fuel the department.


  • Interest in film, theatrical marketing, and movie-going
  • Pursuing Masters or PhD degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Quantitative Social Science, or similarly relevant quantitative domain.
  • Undergraduate degree in quantitative domains listed above or in fields related to the entertainment/media industry (film, business, communication, media studies, and similar).
  • Minimum 1-2 years of work experience, preferably in entertainment, marketing, tech, research, and/or consumer insights
  • Experience with Python (Pandas, numpy, scikit-learn, JupyterLab, etc.), SQL
  • Knowledge of regression, classification, feature selection, clustering, cross-validation, vector distance/similarity, data preprocessing, and data visualization.
  • Preferred Qualifications:
  • Experience with Teradata,
  • Experience with Snowflake
  • Experience with AWS (S3, Sagemaker Studio, Model Registry, EC2, etc.)
  • Experience with Docker
  • Experience with Git / Github
  • Experience with LightGBM
  • Experience with refactoring
  • Experience with Dash
  • Entertainment industry experience / domain knowledge: Passion for movies is a major plus!

Education requirements

Currently Studying

Area of Responsibilities



  • Exploratory analysis: Design and conduct analyses of content and audience data as guided by business needs to help ascertain potential directions for further research & development.
  • Data warehouse migration support: Collaborate with IT and ML Ops to support data warehouse migration and post-migration testing.
  • ETL / feature engineering support: Assist data scientists in analyzing, processing, and transforming data for use as input features in models.
  • Data product / model / process & documentation support: Help maintain and update existing data products and documentation.


Work type

Full time

Work mode



Culver City