Data Scientist

Responsibilities:

• Use data to measure marketing outcomes and guide marketing budget allocation.
• Deliver Artificial Intelligence & Machine learning solutions around client problems: Customer Segmentation & Targeting, Propensity Modelling, Churn Modelling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modelling Response to Incentives, Marketing Mix Optimization, and Price Optimization.
• Partner closely with key partners to understand business objectives and support these objectives through the best use of advanced analytics.
• The role will support the Marketing organization using CAC/LTV and cohort-based acquisition/retention models and decision frameworks to lead customer growth investment and economics.
• Work with Streaming management to help answer tough business questions.
• Develop and drive valuable customer intelligence from our core data assets using advanced analytics.
• Develop advanced analytics algorithms exploiting our data assets, including growth subscriptions, viewing behaviors and content engagement, customer service interactions, service quality and performance information, and customer metrics.
• Strengthen our internal data science capabilities by continuously innovating and driving new ideas, building technology, training, and developing.
• Growth marketing optimization including demand marketing with marketing mix modeling and user engagement.
• Rapidly prototype, build, and deploy production-level analytical models to monitor critical datasets via streaming and batch processes.

Key Skills:

• Programming. 
• Statistics and probability. 
• Data wrangling and database management. 
• Machine learning and deep learning. 
• Data visualization. 
• Cloud computing.
• Interpersonal skills.

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