Data Scientist

Responsibilities Provide technical mentorship for junior team members. Deliver data driven business changing capabilities that businesses and other Analytics & Data Science teams can leverage as a strategic capability and driver of incremental revenue opportunities across Linear Networks, Ad Sales, Streaming, and Studios. Develop and quantify KPIs to measure viewer content quality, engagement, and marketing effectiveness. Measure and quantify fan journeys and map against Client Media & Entertainment Distribution and Client 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 other analytics & data science teams, marketing, creative, ad sales, digital and programming teams – to understand core business issues and to communicate actionable, impactful insights across Linear Networks, Ad Sales, Streaming, and Studios. 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 Degree in Statistics, Econometrics, Mathematics, Operations Research, Computer Science, or equivalent/related degree. 6+ years of experience working in a role focused on consumer analytics, measurement, quantitative research, or related field. 6+ years of experience building and applying predictive models for causal inference, attribution, forecasting, segmentation, or optimization. 6+ 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. Experience participating in and successfully delivering large scale, multi-month, enterprise initiatives. 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 Desired Qualifications 4+ 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 structure and unstructured data Experience working with video stream, linear viewership data, and digital data. Experience working with ad sales data for the media/publishing industry, including rate card, GRPs, Nielsen ratings, and inventory forecasts. Required Education Bachelors