Data Scientist Audience Research - Fox Entertainment

Job Number: R50016381

Brand: FOX Entertainment

Job Type: Business Analysis & Research, Technology

Location: Los Angeles, California

Job Posting Date: October 18, 2021

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OVERVIEW OF THE COMPANY

FOX Entertainment

The FOX Network, a premier national television broadcaster, is renowned for its combination of appealing primetime entertainment and powerful sports programming. It delivers 15 hours of weekly primetime programming to 208 local market affiliates, reaching approximately 99.9% of all U.S. television households. Among 18- to 34-year-olds, the FOX Network has ranked among the top two networks in primetime entertainment for the past 23 years.

JOB DESCRIPTION

We are looking for a Data Scientist to join the Audience team at FOX Entertainment Research. In this role, you will report to the Senior Data Scientist, Audience Research, you will assist in building a scalable data science framework for FOX Entertainment. You will be part of a team that is surfacing and disseminating tactical intelligence from cross-platform datasets to inform business decisions. Focusing primarily on advanced quantitative methodologies, you will help derive, interpret, and analyze audience measures across FOX Entertainment’s footprint (digital, streaming, on-demand, social, and TV). You will be responsible for helping create advanced analytical solutions to inform operations and strategy throughout the company, providing direct support to FOX Entertainment divisions and critical business functions, including Digital, Marketing, Programming, and Scheduling. This is a high-impact opportunity to join a dynamic team and build advanced analytics initiatives from the ground up.

A SNAPSHOT OF YOUR RESPONSIBILITIES

  • Collaborate with FOX corporate data and technology teams to build a scalable data science framework for FOX Entertainment. Represent FOX Entertainment Research in defining data science-driven requirements and solutions for major initiatives

  • Assist in advanced data exploration, data mining, inference, and prediction of multiple traditional and non-traditional media measurement data sets. Create innovative analytics and new predictive modeling techniques of consumer's viewing behavior and program performance

  • Serve as an Audience Research team expert in statistical inference and other practical applications for mathematical statistics. Lead development of advanced analytical frameworks to inform a broad range of business functions across FOX Entertainment

  • Enable advanced analysis and quantitative methodologies (e.g., behavioral modeling, segmentation, cluster analysis) to deepen audience definition, understand audience behaviors and support advanced targeting to inform digital, marketing, and programming strategies

  • Think critically about data and partner with corporate data teams to drive centralization and refinement of existing entertainment data sources. Innovate and recommend new measurements, with a focus on digital measurement. Drive the collection and application of new data

  • Partner with marketing, data, and technology teams to advance in-house marketing analytics and build solutions, such as marketing mix and attribution models, to support FOX Entertainment’s data-driven marketing strategy

  • Inform digital measurement and help advance digital analytics (e.g., customer journey analytics), to generate tactical insights that inform FOX Entertainment’s digital audience strategy

  • Collaborate with corporate data and technology teams to select the appropriate tools for each project, and fully exploit existing methods and algorithms developed for other tools and projects

  • Develop a deep understanding of KPI’s that affect key partner departments. Be able to communicate solutions and identified data insights

WHAT YOU WILL NEED

  • A Bachelor’s degree

  • 3 years of applied experience in data science, advanced analytics, or similar experience in academia applying statistical methods and machine learning techniques with high levels of proficiency

  • Specialization in a quantitative field, such as statistics, engineering, mathematics, computer science, or a similar technical field

  • Deep knowledge of statistical science. Proficient in multiple analytics and programming languages such as Python, R, or SCALA

  • An understanding of and/or exposure to media research methodologies, television, social, and digital measurement tools (e.g., Nielsen, ComScore, ListenFirst, etc.)

  • Experience partnering across business and technology teams to identify opportunities for advanced data science to enhance decision-making

  • Experience implementing advanced analytical frameworks, and leading projects that span the disciplines of data science and data engineering

  • Experience using data visualization tools and techniques to deliver business insights, convey information and results clearly

  • Knowledge of enterprise digital analytics platforms including Adobe Analytics, Google Analytics, etc.

  • Experience in cloud computing (AWS, Azure, or GCP)

  • Ability to work independently, drive the direction for a project and recommend methods and tools. Ability to manage and prioritize multiple projects and work effectively under strict time constraints

  • Exceptional interpersonal and communication skills. Impactful presentation skills in front of a large and diverse audience

  • Comfortable collaborating across research, technology, digital, marketing, and programming functions

NICE TO HAVE, BUT NOT A DEAL BREAKER

  • Advanced degree

  • Experience with Databricks

  • At least 2 years of relevant industry experience (i.e., media, marketing, agency, or similar), with a background using Nielsen data and systems

  • Familiarity with Tableau and/or Looker

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.

APPLY NOW
CURRENT EMPLOYEES AND FREELANCERS/
CONTRACTORS APPLY HERE*