Data Scientist I - Forecasting

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Data Scientist - Content Analytics

HBO Max | Data Science

The Role

As a Data Scientist on the HBO Max Data Science team, you will develop, maintain, and improve data science and machine learning models focused on content performance and decision-making. You will partner closely with cross-functional stakeholders, and your models and analyses will inform leadership and business partners on key content decisions.

You will work with a wide range of datasets to build industry-leading models and insights. Success in this role requires strong end-to-end ownership, the ability to execute across cross-functional projects, and a passion for staying current with emerging modeling and algorithmic techniques and applying them in impactful ways.

• Design, build, and improve machine learning models end to end, including data collection, feature generation and selection, model development, forecasting, and results communication
• Develop reports, presentations, and slides to clearly communicate model outputs and insights
• Deeply understand HBO Max data sources and identify the most valuable data for modeling
• Write efficient, accurate queries to support KPIs and metrics
• Monitor model performance, validate accuracy, and propose enhancements
• Apply causal modeling techniques to identify cause-and-effect relationships between KPIs and key drivers
• Research and apply best-in-class data science techniques and modeling best practices
• Translate business requirements into data science solutions and actionable recommendations
• Build dashboards and reports to share model outputs with internal and external stakeholders, including leadership
• Present analyses to business partners and influence decision-making

• BA/BS in Business Analytics, Statistics, Mathematics, Economics, Industrial Engineering, or a related quantitative discipline (Master's or PhD preferred)
• 1+ years of experience building data science or statistical models (e.g., multivariate regression, time series models, XGBoost, causal inference)
• Strong proficiency in SQL and Python
• Experience building time-series models (e.g., SARIMAX) preferred
• Experience with causal inference models preferred
• Experience with linear and non-linear optimization approaches preferred

• Strong curiosity, leadership skills, and business acumen
• Passion for using data to drive strategy and product recommendations
• Experience in subscription-based businesses or eCommerce preferred
• Strong interpersonal skills with the ability to collaborate, motivate, and influence
• Ability to manage multiple projects and meet tight deadlines
• Strong storytelling instincts and creative judgment
• Ability to engage in strategic conversations using social insights and community perspectives
• Comfort operating in a fast-paced environment with shifting priorities
• Exceptional verbal and written communication skills
• Strong presentation skills