Job Description: The Content Finance Data Science & Engineering team at Netflix is a talented group of cross-functional data professionals. We help scale our rapidly growing Content & Studio efforts by focusing on datasets describing production cost, slate financial planning, and our global workforce of vendors and production talent. These data sets represent tens of billions of dollars - a large portion of Netflix’s revenue - reinvested into entertaining the world with original and acquired content. We conduct statistical analyses, develop analytic tools, develop new data sets and pipelines, and build predictive models and algorithms using machine learning, all with the goal of producing the best content we can in the best way we can. Check out this blog post to learn more about the area and some of the problems we're working on. Job Responsibilities: Source data from new Content and Studio systems or from rich unstructured records that are waiting to be structured! Partner with Analytics Engineers, Software Engineers, and business teams to create data sets that will serve analysis and reporting needs intuitively Help craft the backend data layer of prototype applications or microservices used for reporting and analytic workflows Architect, strengthen, and expand the core data models that our Content and Studio functions use to answer business questions and evaluate their financial decisions. You’ll get to envision how all the data elements from multiple sources should fit together as a whole, and then execute on that plan Develop best practices for governance of data sets with sensitive information Job Requirements: Comfort working with - and learning - a variety of tech stacks Expertise in data modeling and establishing data architecture across multiple systems Experience ingesting and managing data sets that are messy or incomplete at source Enthusiasm about innovating and learning in a fast paced environment Hands-on experience building production data pipelines, ideally using one or more distributed processing frameworks such as Spark or Hive/Hadoop Proficiency in Python, or willingness to grow into Python from your other scripting languages (i.e., Java, Scala) Comfort with ambiguity; able to thrive with minimal oversight and process Strong communication; able to own and deepen direct relationships with our Engineering, Product Management, and business partners Job Details: Company: Netflix Vacancy Type: Full Time Job Location: Youngstown, OH, US Application Deadline: N/A Apply Here careersvite.com
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