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 allows you to build on your experience and develop your skills further. You will be provided with challenging tasks, real-world experience, and many educational and social networking opportunities.

This Spring Internship is from January through May 30th (start and end dates are flexible based on school schedules) and all candidates must be able to work part-time hours (10-29 a week). Our offices are open Monday through Friday, 9-6 pm. 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.

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:

• 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:

• 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).
• 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!

The anticipated base salary for this position is from $32-52/hour. This role may also qualify for comprehensive benefits. The actual base salary offered will depend on a variety of factors, including without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held, and if applicable, the location of the position.

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.

SPE will consider qualified applicants with arrest or conviction records in accordance with applicable law.

To request an accommodation for purposes of participating in the hiring process, you may contact us at SPE_Accommodation_Assistance@spe.sony.com.