Job Description

Data Scientist PPCJP00000487

• Hourly pay: $75/hr
• Worksite: Leading digital streaming network (Los Angeles, CA - Onsite)
• W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL
• 40 hours/week, 2 Month Assignment

A leading digital streaming network seeks a Data Scientist . The successful candidate will develop and implement a machine learning model to forecast consumer demand and spending for PVOD and PEST. This role will involve improving current box office-based methods by incorporating diverse features such as marketing, film quality, competition, and pricing.

Data Scientist Responsibilities:

• 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.

Data Scientist Qualifications:

• 1-2 years of Proven experience in machine learning model development and implementation.
• Experience in the entertainment industry or with PVOD and PEST forecasting is preferred.
• Experience with data analysis and feature engineering.
• Proficiency in programming languages such as Python or R.
• Knowledge of marketing, film quality, competition, and pricing factors is preferred.
• Familiarity with early-stage and post-theatrical forecasting modes is preferred.
• Ability to work with historical data and incorporate diverse features into models.
• Strong understanding of forecasting methods and techniques.

Shift:

• 8 am - 6 pm regular business hours.

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