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KDnuggets Home » Jobs » Disney | ABC TV Group: Principal Data Scientist ( 14:n18 )

Disney | ABC TV Group: Principal Data Scientist


Design and manage the execution of data analysis and modeling projects aimed at solving high-impact business problems for Disney/ABC TV group media networks.



Disney | ABC Television Group Company: Disney | ABC Television Group
Location: Burbank, CA
Web: www.disneyabctv.com


Job Description
Disney | ABC Television Group is seeking a Principal Data Scientist to join our Consumer Data & Analytics team. The Principal's primary role will be to design and manage the execution of data analysis and modeling projects aimed at solving high-impact business problems for DATG's portfolio of media networks. The ideal candidate will have strong experience in accessing, managing, and analyzing data in both structured and distributed data sets, understand mathematics/statistical techniques used for advanced analytics, and demonstrate the business skills necessary to guide strategy and product development .

Responsibilities
  • Work closely with key "client" groups - including marketing, ad sales, digital and programming teams - to understand core business issues and identify opportunities to improve business results
  • Champion/evangelize data as a strategic business asset and driver of incremental revenue opportunities
  • Specific Business Problem Analytics
    • Identify the data needs for each business problem and partner with internal resources to acquire data and prepare for analysis
    • Evaluate different modeling approaches with internal partners (e.g., Multivariate Regression, Logistic Regression, Machine Learning, Decision Trees, Lifetime Analysis, Clustering Algorithms, Probabilistic Models)
    • Interpret results and communicate findings to senior leaders in a manner that drives understanding and influences decision making
  • Tool Development & Implementation
    • Drive the development of analytical, data-driven tools that can drive better/faster decision making and/or more personalized interactions with our consumers
    • Manage the lifecycle of decision science support as solutions advance from theory, proof-of-concept, beta tests, and finally into fully implemented tool sets
  • Data Development, Enhancement & Exploration
    • Propose new sources of data for acquisition, from both internal consumer touch points and external third party data partnerships
    • Conduct exploratory data mining and analysis to understand customer engagement and retention and develop tools to identify trends in audience data

 
Basic Qualifications
  • 8+ years of relevant experience with a proven track record of leveraging large amounts of data to drive significant business impact
  • Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
  • Passion for empirical research, experimentation, and answering hard questions with data
  • Experience solving analytical problems using a combination of scientific approaches from the fields of mathematics, statistics, and operation research
  • Experience with an analytic tool such as R, SAS, or SPSS
  • Experience working with relational databases and SQL
  • Experience working with Big Data and distributed computing tools (Map/Reduce,Hadoop, Hive, etc.)
  • Experience with programming languages like Python or Java

 
Preferred Qualifications
  • Experience working with marketing and response data from various media channels, including television, social media, online video, search, email, mobile, and SMS
  • Experience working with digital and mobile environment data, including online behavior tracking, video players, apps, cookies, and device IDs
  • Experience working with ad sales data for the media/publishing industry, including rate card, GRPs, Nielsen ratings, and inventory forecasts
  • Knowledge of front-end programming tools sets like HTML, JavaScript, and CSS for data acquisition efforts

 
Required Education
  • MS or PhD. in Statistics, Econometrics, Mathematics, Operations Research, Computer Science, or equivalent/related degree

 
_Contact_:
Apply online.

Equal Opportunity Employer--Female/Minority/Veteran/Disability

Auto req ID 199668BR

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