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Director of Personalization, Advanced Analytics

New York, NY, USA | SiriusXM

  • Industry:
    Media / Entertainment
  • Position Type:
    Full-Time
  • Functions:
    General Management
    Engineering
  • Experience:
    3-5 years
Job Description:
57 people have viewed this job

Leading data integration & analytic projects pertaining to all sources of listening/consumption data including in-vehicle & out-of-vehicles behavior that will drive product personalization, marketing effectiveness, channel optimization, better customer experience, & operation efficiency. 

Gathering large sets of listening data from external sources performing data transformation, aggregation, & augmentation. 

Responsible for performing data analyses & developing statistical models to distill key analytic insights to craft next generation advanced analytic solutions for our business. 

Perform sophisticated analyses to identify marketing opportunities & developing business strategies. 

Managing the storage of listening data, ensuring data quality control &consistency, as well as establishing & managing Key Performance Indicators (KPI) to measure the success of our analytics solutions. 

Work closely with our data scientists, statisticians, & big data engineers to execute statistically-based analytics projects for our customers.


Requirements: 


Master’s degree in Industrial Engineering or Industrial Engineering & Management Sciences & two years of experience in the position offered or as a Senior Data Scientist or Data Scientist OR Bachelor’s degree in Industrial Engineering or Industrial Engineering & Management Sciences & five years of post-Bachelor’s progressive experience in the position offered or as a Senior Data Scientist or Data Scientist. 


All required experience must have included: 


Devising ranking, recommendation, & personalization algorithms; 

Performing machine learning to extract hidden data; 

Creating statistical & predictive modes; 

Executing big data analytics; 

Optimizing & simulating product design &personalization; 

Utilizing natural language processing to analyze structured & unstructured text data. 


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