Sony Pictures Entertainment
Data Science Intern, Theatrical Marketing - Summer 2025
Sony Pictures Entertainment - Culver City, California, United States, 90232
Work at Sony Pictures Entertainment
Overview
- View job
Overview
Our Emerging Talent Programs, which includes Interns, Trainees, and Finance Rotational Associates, offer unique opportunities for students, recent graduates, and emerging talent to work alongside the teams that come together to create movies, TV shows, and other great experiences. These seasonal, paid assignments provide meaningful and productive work that builds on your experience and develops your skills further. You will be provided with challenging tasks, real-world experience, and many educational and social networking opportunities.
This Summer Internship is from May/June through August 29th (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 person in the specified office location. This position is ideal for a student enrolled in an accredited college or university interested in continuing their education through professional experience.
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.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.
Prototype development: Develop and validate early iterations of data products to be further polished and productionized in collaboration with internal and cross-team stakeholders.
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.
QUALIFICATIONS:
Pursuing Masters or PhD degree in Data Science, Artificial Intelligence, Machine Learning, Statistics, Human-Computer Interaction, Economics, Computational Social Science, or similarly relevant quantitative domain.
Undergraduate degree in quantitative domain listed above or in fields related to the entertainment/media industry (film, business, communication, media studies, marketing, 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.) and SQL
Knowledge of regression, classification, feature selection, clustering, cross-validation, vector distance/similarity, data preprocessing, data transformation, and data visualization.
Self-starter, excels in proactively seeking out resources and guidance to combine with own expertise to develop data products optimally fitting stakeholder needs.
PREFERRED QUALIFICATIONS:
Experience with LLM application development
Experience with AWS (S3, Sagemaker Studio, Model Registry, EC2, etc.)
Experience with Docker
Experience with Git / Github
Experience with code refactoring
Entertainment industry experience / domain knowledge: Passion for movies is a major plus!
Sony Pictures Entertainment is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, age, sexual orientation, gender identity, or other protected characteristics. To request an accommodation for purposes of participating in the hiring process, you may contact us at SPE_Accommodation_Assistance@spe.sony.com.
This Summer Internship is from May/June through August 29th (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 person in the specified office location. This position is ideal for a student enrolled in an accredited college or university interested in continuing their education through professional experience.
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.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.
Prototype development: Develop and validate early iterations of data products to be further polished and productionized in collaboration with internal and cross-team stakeholders.
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.
QUALIFICATIONS:
Pursuing Masters or PhD degree in Data Science, Artificial Intelligence, Machine Learning, Statistics, Human-Computer Interaction, Economics, Computational Social Science, or similarly relevant quantitative domain.
Undergraduate degree in quantitative domain listed above or in fields related to the entertainment/media industry (film, business, communication, media studies, marketing, 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.) and SQL
Knowledge of regression, classification, feature selection, clustering, cross-validation, vector distance/similarity, data preprocessing, data transformation, and data visualization.
Self-starter, excels in proactively seeking out resources and guidance to combine with own expertise to develop data products optimally fitting stakeholder needs.
PREFERRED QUALIFICATIONS:
Experience with LLM application development
Experience with AWS (S3, Sagemaker Studio, Model Registry, EC2, etc.)
Experience with Docker
Experience with Git / Github
Experience with code refactoring
Entertainment industry experience / domain knowledge: Passion for movies is a major plus!
Sony Pictures Entertainment is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, age, sexual orientation, gender identity, or other protected characteristics. To request an accommodation for purposes of participating in the hiring process, you may contact us at SPE_Accommodation_Assistance@spe.sony.com.