Data Scientist

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, Possibility of extension (Up to 12 weeks) 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. Experience in statistical modelling. 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 (e.g., R-squared, P-values). Strong understanding of forecasting methods and techniques. Shift: 8 am - 6 pm regular business hours. (H)