Job Description
Data Scientist II, Content Data Science - HBO Max
The Job
We are looking for a Data Scientist II to join the Content Data Science team at HBO Max.
As a Data Scientist, you will have the opportunity to work on challenging and greenfield problems to help HBO Max grow through this exciting time of streaming expansion in the entertainment sector.
One of the projects you will work on will be assisting our content acquisition team, getting started by building models to predict lifetime performance measures. As a key part of this project in its early stages, you will have the opportunity to help define the role of the data science team and its data products in assisting content acquisition decisions. You will leverage your statistical and machine learning skills on topics related to content ranging from title performance, cost optimisation, signal processing, to time series analysis. You will be a hands-on domain expert working with cross-functional partners to solve broader business problems with data-driven insights and algorithmic thinking.
The Daily
• Develop solutions and build prototypes to solve business problems using machine learning and statistical analysis
• Create impact by helping to solve difficult data science problems using a variety of ML techniques with careful investigations into accuracy / performance
• Synthesize analytics and statistical approaches into easy-to-consume storylines, both visually and verbally, and clearly communicate with both non-data science audiences (such as creatives) and data scientists
• Work closely with the wider data science team as well as supporting and presenting to multiple stakeholders
The Essentials
• M.S. or Ph.D. degree in Mathematics, Machine Learning, Engineering, Physics or other quantitative fields preferred.
• At least 2 years of experience in an industry setting
• Knowledge of underlying mathematical foundations of statistics, machine learning, optimisation and analytics
• Experienced in Python and SQL
Nice to Haves
• Proven ability in building relationships and collaborate with stakeholders across large organizations
• Excellent verbal and written communications skills
• Experience with time series forecasting
Jobcode: Reference SBJ-g6pvxn-18-234-202-202-42 in your application.