Data Scientist - Machine Learning

Date Posted: 04/10/2026

Hiring Organization: Rose International

Position Number: 499626

Industry: Media and Entertainment

Job Title: Data Scientist - Machine Learning

Job Location: Los Angeles, CA, USA, 90038

Work Model: Onsite

Shift: 8-6

Employment Type: Temporary

FT/PT: Full-Time

Estimated Duration (In months): 2

Min Hourly Rate($): 65.00

Max Hourly Rate($): 73.00

Must Have Skills/Attributes: Data Analysis, Python, R

Experience Desired: Experience in the entertainment industry or with PVOD and PEST forecasting (1+ yrs)

**C2C is not available**

Job Description

Description:

The successful candidate will be responsible for developing an advanced machine learning model to forecast domestic consumer demand and spending for Premium Video on Demand (PVOD) and Premium Electronic Sell-Through (PEST) at the individual film title level. This role will involve improving current box office-based methods by incorporating diverse features such as marketing, film quality, competition, and pricing.

Key Responsibilities:

• Develop and implement a machine learning model to forecast consumer demand and spending for PVOD and PEST.

• Incorporate diverse features such as marketing, film quality, competition, and pricing into the model.

• Support early-stage and post-theatrical forecasting modes.

• Ensure model explainability for non-technical stakeholders.

• Provide guidance for integration of the model into weekly workflows.

• Utilize historical data on theatrical performance, film attributes, marketing, pricing, and competitive context.

• Deliver a predictive model, explainability package, accuracy assessment, and implementation recommendations within a four-week timeline.

Required Qualifications:

• Proven experience in machine learning model development and implementation.

• Strong understanding of forecasting methods and techniques.

• Proficiency in programming languages such as Python or R.

• Experience with data analysis and feature engineering.

• Ability to work with historical data and incorporate diverse features into models.

• Excellent communication skills to explain complex models to non-technical stakeholders.

• Strong problem-solving skills and attention to detail.

Preferred Qualifications:

• Experience in the entertainment industry or with PVOD and PEST forecasting.

• Knowledge of marketing, film quality, competition, and pricing factors.

• Familiarity with early-stage and post-theatrical forecasting modes.

• **Only those lawfully authorized to work in the designated country associated with the position will be considered.**

• **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client’s business needs and requirements.**

Benefits:

For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.

California Pay Equity:

For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.

Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.

If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.

Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).

About Rose

• Founded in 1993

• Office Locations Across the U.S.

• 150+ Clients: Corporations and Government Agencies

• Employee Oriented Company

• Challenging Assignments Across the U.S.

• Continuous Professional Development