MW Partners is currently seeking a Data Scientist to work for our client who is a global leader in the media and entertainment industry.
Responsibilities and duties:
- 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.
Requirements:
- 1-2 years of 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.
For a further discussion or to find out more contact Amit Kumar on or apply now.
MW Partners is currently seeking a Data Scientist to work for our client who is a global leader in the media and entertainment industry. Responsibilities and duties: Develop and implement a machine learning model to forecast consumer demand and spending for PVOD and PEST. Incorporate diverse featu...
MW Partners is currently seeking a Data Scientist to work for our client who is a global leader in the media and entertainment industry.
Responsibilities and duties:
- 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.
Requirements:
- 1-2 years of 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.
For a further discussion or to find out more contact Amit Kumar on or apply now.
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