Looper Insights
Looper Insights is a company that empowers entertainment streaming services and broadcasters with advanced analytics aimed at enhancing video on demand (VoD) merchandising and compliance. Their proprietary platform offers insights through tools like Media Placement Value (MPV), designed to optimize content visibility, reduce piracy, and strategically enhance marketing campaigns across connected TV devices. By collaborating with streamers, studios, and broadcasters, Looper Insights provides data-driven solutions that improve sales, customer acquisition, and retention in the digital entertainment space.
svod • Film & TV • Film Tech • analytics • ecommerce
Junior Data Scientist
March 13
Looper Insights
Looper Insights is a company that empowers entertainment streaming services and broadcasters with advanced analytics aimed at enhancing video on demand (VoD) merchandising and compliance. Their proprietary platform offers insights through tools like Media Placement Value (MPV), designed to optimize content visibility, reduce piracy, and strategically enhance marketing campaigns across connected TV devices. By collaborating with streamers, studios, and broadcasters, Looper Insights provides data-driven solutions that improve sales, customer acquisition, and retention in the digital entertainment space.
svod • Film & TV • Film Tech • analytics • ecommerce
📋 Description
•Develop and apply statistical models and time series forecasting techniques to analyze business trends and performance. •Perform exploratory data analysis to identify patterns, anomalies, and insights that drive strategic decision-making. •Research, define, and refine new business metrics, ensuring they accurately capture business performance. •Use SQL to query and manipulate data efficiently. •Create data visualizations using BI tools (e.g., Superset) to support data-driven insights. •Translate complex data insights into clear, actionable recommendations for business stakeholders. •Maintain thorough documentation of methodologies, models, and findings for transparency and reproducibility. •Collaborate with various teams including engineers to ensure efficient data access and integration.
🎯 Requirements
•Strong Python skills, particularly libraries used for ML and statistical analysis (e.g., pandas, NumPy, scikit-learn, statsmodels, etc.) •Knowledge of time series forecasting and statistical analysis •Experience with SQL for querying and data manipulation •Familiarity with BI tools (e.g., Superset) for data visualization is beneficial •Ability to communicate findings through data storytelling, translating numbers into clear, meaningful insights that drive business impact •Strong documentation skills to ensure reproducibility and knowledge sharing
🏖️ Benefits
•Generous share options scheme •27 days' holiday (on top of public holidays) •Flexible working environment - outcome over hours worked •Payment towards health insurance •Training & development opportunities •Employee assistance programme •Access to UK working locations (via the Reef app)
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