Data Scientist - Content Analytics

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Are you looking for a high impact position that will leverage your data science, analytical, business and technical skills? Do you enjoy working with complex data sets to conduct deep dive analysis that expands the understanding of business performance and drives change? If you excel at delivering, communicating robust data analysis, and want to influence the future of television, then this position is for you.

Disney Media & Entertainment Distribution is seeking a Data Scientists - Content Analytics to join our Data & Decision Science organization. The Data Scientist’s primary role is focused on serving our business stakeholders to move the business forward. The Data Scientist is also expected to develop a rich understanding of how consumers interact with our brands, and deliver consumable insights to Disney Media & Entertainment Distribution and Disney General Entertainment to increase consumer engagement and serve our consumers better than ever. The ideal candidate will have strong experience in mathematics & statistical techniques used for analyzing large data sources, plus a deep understanding of consumer behaviors related to marketing, content development, and digital experiences.

Responsibilities

• Deliver data driven insights by effectively communicating the “so what” from the data to the business to leverage as a strategic business asset and driver of incremental revenue opportunities across ABC, Freeform, DCWW, FX, NatGeo, and ESPN.
• Develop and quantify KPIs to measure viewer content quality, engagement, and marketing effectiveness.
• Measure and quantify fan journeys and map against Disney Media & Entertainment Distributionand Disney General Entertainment experiences and touch points.
• Conduct exploratory data mining and analysis to understand customer engagement and retention to identify trends and insights in audience data to improve engagement.
• Continuously drive toward efficiency by simplifying and automating where possible, eliminating redundancy across the organization, refining metrics, and building new reports as needed to support decision-making.
• Ability to develop effective relationships with business partners and peers– including marketing, creative, ad sales, digital and programming teams – to understand core business issues and to communicate actionable, impactful insights across ABC, Freeform, DCWW, FX, NatGeo, and ESPN.
• Assure quality and accuracy of deliverables through thorough interaction with business partners to understand and refine requirements and adherence to privacy, governance standards, and quantitative practices.

Basic Qualifications

• 1+ years of experience working in a role focused on consumer analytics, measurement, quantitative research, or related field.
• 1+ years of experience with complex, Big Data databases (Hadoop, Snowflake, BigQuery, Redshift, etc.), statistical programs and other tools (Spark, Python, R, etc.) with an aptitude to learn other technical applications quickly to compile and interpret quantitative data. Proven track record of extracting accurate conclusions and identifying trends from quantitative information.
• Proficient knowledge and experience in visualizing and communicating complex quantitative analysis in a clear, precise, and actionable manner.
• Experience solving difficult and unclear analytical problems using a combination of scientific approaches from the fields of mathematics, statistics, and operation research.

Preferred Qualifications

• 1+ years of experience working in marketing, digital experiences, or other consumer-focused roles focused on consumer driven analytics including building out consumer based models.
• 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 video stream and linear viewership data.
• Experience working with digital and mobile data, including online behavior tracking, video players, and apps.
• Experience working with ad sales data for the media/publishing industry, including rate card, GRPs, Nielsen ratings, and inventory forecasts.

Required Education

• Degree in Statistics, Econometrics, Mathematics, Operations Research, Computer Science, or equivalent/related degree.

About Disney Media & Entertainment Distribution:

Comprised of the Company’s international business units and various direct-to-consumer streaming services, Disney Media & Entertainment Distribution (DMED) aligns technology, media distribution and advertising sales into a single business segment to create and deliver personalized entertainment experiences to consumers around the world.