Experience directly supporting data science team data and technical needs.
Experience working with Data Governance, Privacy, and Business Legal governance
Experience negotiating data contracts with 3rd party vendors.
Experience working with 3rd party identity providers
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.
3+ years of business facing experience that includes building relationships with new business partners, project request intake, and presentations. Experience delivering executive level presentations is preferred.
6+ years of experience working with Big Data data sets, preferably consumer focused datasets such as transaction data, clickstream, ad logs, video logs, etc.
6+ years of experience with Big Data database technology (Hadoop, Snowflake, BigQuery, Redshift, etc.), SQL, programming (Spark, Python, R, etc.), and automation technologies with an aptitude to learn other technical applications quickly to compile and interpret quantitative data.
Proficient knowledge and experience in understanding and addressing scalable computing problems at petabyte scale, and performing root cause analysis
Experience in maintaining code repositories (GitHub, GitLab, etc) and documentation of code and data assets including metadata through infobase tools such as Confluence
Experienced and comfortable in Agile work environment (Scrum, Kanban, etc)
Degree in Statistics, Econometrics, Mathematics, Operations Research, Computer Science, or equivalent/related degree.
Provide technical mentorship, and support of team members and engineering partners.
Participate in and lead engineering and data science sprint ceremonies
Deliver new datasets and quantitative capabilities through product, engineering, and governance to enable the Data Science teams to more effectively and efficiently create new, different, and impactful data driven insights for the business to leverage as a strategic business asset and driver of incremental revenue opportunities across media, Film Studios, Streaming, and Ad Sales.
Champion consistent and efficient coding practices with the Data Science teams that enables them to increase productivity and reliability of findings.
Continuously drive toward efficiency by simplifying and automating where possible, eliminating redundancy across the organization, refining data structures, and building data views as needed to support higher team productivity.
Develop effective relationships with business partners and peers across segments – including product, project, and engineering teams to better understand data initiatives and capabilities across the company
Assure quality and accuracy of deliverables through thorough interaction with product managers and engineers to understand and refine requirements and adherence to privacy, governance, and quantitative standards.