{"schemaVersion":"jobsearcher.job.v1","id":"8e88ee3b7b1dfcd680ca88e2","url":"https://jobsearcher.com/jobs/8e88ee3b7b1dfcd680ca88e2","canonicalUrl":"https://jobsearcher.com/jobs/8e88ee3b7b1dfcd680ca88e2","title":"Data Scientist","description":"Data Scientist PPCJP00000487\nHourly pay: $75/hr\nWorksite: Leading digital streaming network (Los Angeles, CA - Onsite)\nW2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL\n40 hours/week, 2 Month Assignment, Possibility of extension (Up to 12 weeks)\nA 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.\nData Scientist Responsibilities:\nIncorporate diverse features such as marketing, film quality, competition, and pricing into the model.\nSupport early-stage and post-theatrical forecasting modes.\nEnsure model explainability for non-technical stakeholders.\nProvide guidance for integration of the model into weekly workflows.\nUtilize historical data on theatrical performance, film attributes, marketing, pricing, and competitive context.\nDeliver a predictive model, explainability package, accuracy assessment, and implementation recommendations within a four-week timeline.\nData Scientist Qualifications:\n1-2 years of Proven experience in machine learning model development and implementation.\nExperience in the entertainment industry or with PVOD and PEST forecasting is preferred.\nExperience with data analysis and feature engineering.\nExperience in statistical modelling.\nProficiency in programming languages such as Python or R.\nKnowledge of marketing, film quality, competition, and pricing factors is preferred.\nFamiliarity with early-stage and post-theatrical forecasting modes is preferred.\nAbility to work with historical data and incorporate diverse features into models (e.g., R-squared, P-values).\nStrong understanding of forecasting methods and techniques.\nShift:\n8 am - 6 pm regular business hours.\n(H)","company":"Avispatechnology4","rawCompany":"avispatechnology4","city":"Los Angeles","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-16T18:44:26.182Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-2041.00","title":"Statisticians","slug":"statisticians"},{"code":"15-2031.00","title":"Operations Research Analysts","slug":"operations-research-analysts"}],"industries":[{"code":"516210","title":"Media Streaming Distribution Services, Social Networks, and Other Media Networks and Content Providers","slug":"media-streaming-distribution-services-social-networks-and-other-media-networks-and-content-providers"},{"code":"512110","title":"Motion Picture and Video Production","slug":"motion-picture-and-video-production"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Scientist","description":"Data Scientist PPCJP00000487\nHourly pay: $75/hr\nWorksite: Leading digital streaming network (Los Angeles, CA - Onsite)\nW2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL\n40 hours/week, 2 Month Assignment, Possibility of extension (Up to 12 weeks)\nA 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.\nData Scientist Responsibilities:\nIncorporate diverse features such as marketing, film quality, competition, and pricing into the model.\nSupport early-stage and post-theatrical forecasting modes.\nEnsure model explainability for non-technical stakeholders.\nProvide guidance for integration of the model into weekly workflows.\nUtilize historical data on theatrical performance, film attributes, marketing, pricing, and competitive context.\nDeliver a predictive model, explainability package, accuracy assessment, and implementation recommendations within a four-week timeline.\nData Scientist Qualifications:\n1-2 years of Proven experience in machine learning model development and implementation.\nExperience in the entertainment industry or with PVOD and PEST forecasting is preferred.\nExperience with data analysis and feature engineering.\nExperience in statistical modelling.\nProficiency in programming languages such as Python or R.\nKnowledge of marketing, film quality, competition, and pricing factors is preferred.\nFamiliarity with early-stage and post-theatrical forecasting modes is preferred.\nAbility to work with historical data and incorporate diverse features into models (e.g., R-squared, P-values).\nStrong understanding of forecasting methods and techniques.\nShift:\n8 am - 6 pm regular business hours.\n(H)","datePosted":"2026-07-16T18:44:26.182Z","dateModified":"2026-07-16T18:44:26.182Z","hiringOrganization":{"@type":"Organization","name":"Avispatechnology4","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Los Angeles","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8e88ee3b7b1dfcd680ca88e2"},"url":"https://jobsearcher.com/jobs/8e88ee3b7b1dfcd680ca88e2"}}