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Lead games data science for Disney's Fortnite partnership: develop advanced analytics, forecasting, experimentation, and behavioral segmentation; analyze telemetry and engagement data; define KPIs and measurement frameworks; build scalable analytics infrastructure and dashboards; translate findings into strategic recommendations for product, marketing, and executive stakeholders.

Provide remote live-broadcast support as a talent statistician: research and communicate game statistics, trends, lineups and play details to announcers and graphics producers. Prepare storylines, confirm pregame info, support graphics production, liaise with team PR/SID, and perform technical maintenance and troubleshooting for assigned systems in a high-pressure live production environment.

Lead Data Engineer partners with product, architecture, and engineering to design, build, and operate scalable data solutions. Responsibilities include translating product requirements into data designs, building ETL/ELT pipelines, optimizing data storage and flow, implementing data cleansing and automation, ensuring data quality and compatibility, guiding architectural patterns, estimating project scope, and mentoring teams while staying current with emerging data technologies.

Manage creation and live execution of on-air scoreboard graphics and content during broadcasts. Enter scoring data accurately and quickly, assemble and network scoring systems, troubleshoot issues, connect to stadium scoreboards, coordinate with producers and technical teams, and deliver post-game reports to engineering. Must work under live-production pressure and be available for nights, weekends, holidays, and travel.

Support remote live sports productions as Associate Director: time elements, coordinate feeds, prepare preproduction assets (graphics, promos), run preproduction sessions, log music/sales/commercials, communicate cues with talent and technical teams, troubleshoot systems, and support Producer/Director during live REMI broadcasts.

Design, implement, and test scalable, low-latency ad selection systems using rule-based and ML solutions. Build and maintain microservices, observability, and metrics; translate product stories into tasks; mentor teammates; participate in on-call rotations and own domain areas.